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Technical Deep Dive
This repository contains a collection of resources and papers on Diffusion Models.
Please refer to this page as this page may not contain all the information due to page constraints.
Contents
- Resources
- Papers
Resources
Introductory Posts
:fast_forward: DiffusionFastForward: 01-Diffusion-Theory
Mikolaj Czerkawski (@mikonvergence)
[Website]
4 Feb 2023
How diffusion models work: the math from scratch
Sergios Karagiannakos,Nikolas Adaloglou
[Website]
24 Sep 2022
A Path to the Variational Diffusion Loss
Alex Alemi
[Website] [Colab]
15 Sep 2022
The Annotated Diffusion Model
Niels Rogge, Kashif Rasul
[Website]
06 Jun 2022
The recent rise of diffusion-based models
Maciej Domagała
[Website]
06 Jun 2022
Introduction to Diffusion Models for Machine Learning
Ryan O'Connor
[Website]
12 May 2022
Improving Diffusion Models as an Alternative To GANs
Arash Vahdat and Karsten Kreis
[Website-Part 1] [Website-Part 2]
26 Apr 2022
An introduction to Diffusion Probabilistic Models
Ayan Das
[Website]
04 Dec 2021
Introduction to deep generative modeling: Diffusion-based Deep Generative Models
Jakub Tomczak
[Website]
30 Aug 2021
What are Diffusion Models?
Lilian Weng
[Website]
11 Jul 2021
Diffusion Models as a kind of VAE
Angus Turner
[Website]
29 Jun 2021
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
[Website]
5 May 2021
Introductory Papers
Understanding Diffusion Models: A Unified Perspective
Calvin Luo
arXiv 2022. [Paper]
25 Aug 2022
How to Train Your Energy-Based Models
Yang Song, Diederik P. Kingma
arXiv 2022. [Paper]
9 Jan 2021
Introductory Videos
:fast_forward: DiffusionFastForward
Mikolaj Czerkawski (@mikonvergence)
[Video]
4 Mar 2023
Diffusion models from scratch in PyTorch
DeepFindr
[Video]
18 Jul 2022
Diffusion Models | Paper Explanation | Math Explained
Outlier
[Video]
6 Jun 2022
What are Diffusion Models?
Ari Seff
[Video]
20 Apr 2022
Diffusion models explained
AI Coffee Break with Letitia
[Video]
23 Mar 2022
Introductory Lectures
Denoising Diffusion-based Generative Modeling: Foundations and Applications
Karsten Kreis, Ruiqi Gao, Arash Vahdat
[Page]
19 Jun 2022
Diffusion Probabilistic Models
Jascha Sohl-Dickstein, MIT 6.S192 - Lecture 22
[Video]
19 Apr 2022
Tutorial and Jupyter Notebook
:fast_forward: DiffusionFastForward: train from scratch in colab
Mikolaj Czerkawski (@mikonvergence)
[Github]
[notebook]
diffusion-for-beginners
ozanciga
[Github]
Beyond Diffusion: What is Personalized Image Generation and How Can You Customize Image Synthesis?
J. Rafid Siddiqui
[Github] [Medium]
Diffusion_models_tutorial
FilippoMB
[Github]
ScoreDiffusionModel
JeongJiHeon
[Github]
Minimal implementation of diffusion models
VSehwag
[Github]
diffusion_tutorial
sunlin-ai
[Github]
Denoising diffusion probabilistic models
acids-ircam
[Github]
Centipede Diffusion
Zalring
[Notebook]
Deforum Stable Diffusion
deforum
[Notebook]
Stable Diffusion Interpolation
None
[Notebook]
Keras Stable Diffusion: GPU starter example
None
[Notebook]
Huemin Jax Diffusion
huemin-art
[Notebook]
Disco Diffusion
alembics
[Notebook]
Simplified Disco Diffusion
entmike
[Notebook]
WAS's Disco Diffusion - Portrait Generator Playground
WASasquatch
[Notebook]
Diffusers - Hugging Face
huggingface
[Notebook]
Papers
Survey
A Survey on Video Diffusion Models
Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu and Yu-Gang Jiang
arXiv 2023. [Paper]
16 Oct 2023
State of the Art on Diffusion Models for Visual Computing
Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein
arXiv 2023. [Paper]
11 Oct 2023
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories
Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau
arXiv 2023. [Paper]
28 Sep 2023
A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions
Tianyi Zhang, Zheng Wang, Jing Huang, Mohiuddin Muhammad Tasnim, Wei Shi
arXiv 2023. [Paper]
25 Aug 2023
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey
Xin Li, Yulin Ren, Xin Jin, Cuiling Lan, Xingrui Wang, Wenjun Zeng, Xinchao Wang, Zhibo Chen
arXiv 2023. [Paper]
18 Aug 2023
A Comprehensive Survey on Generative Diffusion Models for Structured Data
Heejoon Koo, To Eun Kim
arXiv 2023. [Paper]
7 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
Ziyi Chang, George A. Koulieris, Hubert P. H. Shum
arXiv 2023. [Paper]
7 Jun 2023
Diffusion Models in NLP: A Survey
Hao Zou, Zae Myung Kim, Dongyeop Kang
arXiv 2023. [Paper]
24 May 2023
Diffusion Models for Time Series Applications: A Survey
Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao
arXiv 2023. [Paper]
1 May 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
Weijian Luo
arXiv 2023. [Paper]
9 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
Mengchun Zhang, Maryam Qamar, Taegoo Kang, Yuna Jung, Chenshuang Zhang, Sung-Ho Bae, Chaoning Zhang
arXiv 2023. [Paper]
4 Apr 2023
Audio Diffusion Model for Speech Synthesis: A Survey on Text To Speech and Speech Enhancement in Generative AI
Chenshuang Zhang, Chaoning Zhang, Sheng Zheng, Mengchun Zhang, Maryam Qamar, Sung-Ho Bae, In So Kweon
arXiv 2023. [Paper]
23 Mar 2023
Diffusion Models in NLP: A Survey
Yuansong Zhu, Yu Zhao
arXiv 2023. [Paper]
14 Mar 2023
Text-to-image Diffusion Model in Generative AI: A Survey
Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, In So Kweon
arXiv 2023. [Paper]
14 Mar 2023
Diffusion Models for Non-autoregressive Text Generation: A Survey
Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen
arXiv 2023. [Paper]
12 Mar 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action
Zhiye Guo, Jian Liu, Yanli Wang, Mengrui Chen, Duolin Wang, Dong Xu, Jianlin Cheng
arXiv 2023. [Paper]
13 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications
Wenqi Fan, Chengyi Liu, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
arXiv 2023. [Paper]
6 Feb 2023
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof
arXiv 2022. [Paper] [Github]
14 Nov 2022
Efficient Diffusion Models for Vision: A Survey
Anwaar Ulhaq, Naveed Akhtar, Ganna Pogrebna
arXiv 2022. [Paper]
7 Oct 2022
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah
arXiv 2022. [Paper]
10 Sep 2022
A Survey on Generative Diffusion Model
Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li
arXiv 2022. [Paper]
6 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang, Zhilong Zhang, Shenda Hong, Wentao Zhang
arXiv 2022. [Paper]
2 Sep 2022
Vision
Generation
DiffEnc: Variational Diffusion with a Learned Encoder
Beatrix M. G. Nielsen, Anders Christensen, Andrea Dittadi, Ole Winther
arXiv 2023. [Paper]
30 Oct 2023
Upgrading VAE Training With Unlimited Data Plans Provided by Diffusion Models
Tim Z. Xiao, Johannes Zenn, Robert Bamler
arXiv 2023. [Paper]
30 Oct 2023
Successfully Applying Lottery Ticket Hypothesis to Diffusion Model
Chao Jiang, Bo Hui, Bohan Liu, Da Yan
arXiv 2023. [Paper]
28 Oct 2023
Noise-Free Score Distillation
Oren Katzir, Or Patashnik, Daniel Cohen-Or, Dani Lischinski
arXiv 2023. [Paper]
26 Oct 2023
The statistical thermodynamics of generative diffusion models
Luca Ambrogioni
arXiv 2023. [Paper]
26 Oct 2023
Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise
Zhenkai Zhang, Krista A. Ehinger, Tom Drummond
arXiv 2023. [Paper]
26 Oct 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
Longlin Yu, Tianyu Xie, Yu Zhu, Tong Yang, Xiangyu Zhang, Cheng Zhang
arXiv 2023. [Paper] [Github]
26 Oct 2023
RePoseDM: Recurrent Pose Alignment and Gradient Guidance for Pose Guided Image Synthesis
Anant Khandelwal
arXiv 2023. [Paper]
24 Oct 2023
Improved Techniques for Training Consistency Models
Yang Song, Prafulla Dhariwal
arXiv 2023. [Paper]
22 Oct 2023
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection
Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin
NeurIPS 2023. [Paper] [Github]
20 Oct 2023
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
Gabriele Corso, Yilun Xu, Valentin de Bortoli, Regina Barzilay, Tommi Jaakkola
arXiv 2023. [Paper] [Github]
19 Oct 2023
Closed-Form Diffusion Models
Christopher Scarvelis, Haitz Sáez de Ocáriz Borde, Justin Solomon
arXiv 2023. [Paper]
19 Oct 2023
Elucidating The Design Space of Classifier-Guided Diffusion Generation
Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun
arXiv 2023. [Paper] [Github]
17 Oct 2023
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng
arXiv 2023. [Paper]
17 Oct 2023
Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models
Zijian Zhang, Luping Liu. Zhijie Lin, Yichen Zhu, Zhou Zhao
arXiv 2023. [Paper]
15 Oct 2023
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner
Mengfei Xia, Yujun Shen, Changsong Lei, Yu Zhou, Ran Yi, Deli Zhao, Wenping Wang, Yong-jin Liu
arXiv 2023. [Paper]
14 Oct 2023
Unseen Image Synthesis with Diffusion Models
Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
arXiv 2023. [Paper]
13 Oct 2023
Debias the Training of Diffusion Models
Hu Yu, Li Shen, Jie Huang, Man Zhou, Hongsheng Li, Feng Zhao
arXiv 2023. [Paper]
12 Oct 2023
Neural Diffusion Models
Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth
arXiv 2023. [Paper]
12 Oct 2023
Efficient Integrators for Diffusion Generative Models
Kushagra Pandey, Maja Rudolph, Stephan Mandt
arXiv 2023. [Paper]
11 Oct 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
arXiv 2023. [Paper]
10 Oct 2023
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
Lijun Yu, José Lezama, Nitesh B. Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang
arXiv 2023. [Paper] [Github]
9 Oct 2023
The Emergence of Reproducibility and Consistency in Diffusion Models
Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Liyue Shen, Qing Qu
arXiv 2023. [Paper]
8 Oct 2023
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures
Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu
arXiv 2023. [Paper]
7 Oct 2023
Observation-Guided Diffusion Probabilistic Models
Junoh Kang, Jinyoung Choi, Sungik Choi, Bohyung Han
arXiv 2023. [Paper]
6 Oct 2023
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, Hang Zhao
arXiv 2023. [Paper]
6 Oct 2023
Denoising Diffusion Step-aware Models
Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Yingcong Chen
arXiv 2023. [Paper]
5 Oct 2023
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
arXiv 2023. [Paper]
5 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
NeurIPS 2023. [Paper] [Github]
5 Oct 2023
On Memorization in Diffusion Models
Xiangming Gu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin, Ye Wang
arXiv 2023. [Paper] [Github]
4 Oct 2023
Sequential Data Generation with Groupwise Diffusion Process
Sangyun Lee, Gayoung Lee, Hyunsu Kim, Junho Kim, Youngjung Uh
arXiv 2023. [Paper]
2 Oct 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon
arXiv 2023. [Paper]
1 Oct 2023
Completing Visual Objects via Bridging Generation and Segmentation
Xiang Li, Yinpeng Chen, Chung-Ching Lin, Rita Singh, Bhiksha Raj, Zicheng Liu
arXiv 2023. [Paper]
1 Oct 2023
Decoding Realistic Images from Brain Activity with Contrastive Self-supervision and Latent Diffusion
Jingyuan Sun, Mingxiao Li, Marie-Francine Moens
arXiv 2023. [Paper]
30 Sep 2023
FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery
Tasin Islam, Alina Miron, XiaoHui Liu, Yongmin Li
arXiv 2023. [Paper]
29 Sep 2023
Denoising Diffusion Bridge Models
Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon
arXiv 2023. [Paper]
29 Sep 2023
DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation
Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu
arXiv 2023. [Paper]
29 Sep 2023
Distilling ODE Solvers of Diffusion Models into Smaller Steps
Sanghwan Kim, Hao Tang, Fisher Yu
arXiv 2023. [Paper]
28 Sep 2023
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
Xin Yuan, Michael Maire
arXiv 2023. [Paper]
27 Sep 2023
Generative Escher Meshes
Noam Aigerman, Thibault Groueix
arXiv 2023. [Paper]
25 Sep 2023
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
Yangming Li, Boris van Breugel, Mihaela van der Schaar
arXiv 2023. [Paper]
25 Sep 2023
GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER
Mingzhen Sun, Weining Wang, Zihan Qin, Jiahui Sun, Sihan Chen, Jing Liu
arXiv 2023. [Paper] [Github]
23 Sep 2023
Score Mismatching for Generative Modeling
Senmao Ye, Fei Liu
arXiv 2023. [Paper]
20 Sep 2023
Generalised Probabilistic Diffusion Scale-Spaces
Pascal Peter
arXiv 2023. [Paper]
15 Sep 2023
Generative Image Dynamics
Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski
arXiv 2023. [Paper] [Project]
14 Sep 2023
Beta Diffusion
Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng
NeurIPS 2023. [Paper]
14 Sep 2023
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
arXiv 2023. [Paper]
12 Sep 2023
Elucidating the solution space of extended reverse-time SDE for diffusion models
Qinpeng Cui, Xinyi Zhang, Zongqing Lu, Qingmin Liao
arXiv 2023. [Paper]
12 Sep 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
Yaxuan Zhu, Jianwen Xie, Yingnian Wu, Ruiqi Gao
arXiv 2023. [Paper]
10 Sep 2023
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang
arXiv 2023. [Paper]
4 Sep 2023
Gradient Domain Diffusion Models for Image Synthesis
Yuanhao Gong
arXiv 2023. [Paper]
5 Sep 2023
Hierarchical Masked 3D Diffusion Model for Video Outpainting
Fanda Fan, Chaoxu Guo, Litong Gong, Biao Wang, Tiezheng Ge, Yuning Jiang, Chunjie Luo, Jianfeng Zhan
arXiv 2023. [Paper] [Github]
5 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors
Mohsen Zand, Ali Etemad, Michael Greenspan
arXiv 2023. [Paper] [Github]
3 Sep 2023
Diffusion Inertial Poser: Human Motion Reconstruction from Arbitrary Sparse IMU Configurations
Tom Van Wouwe, Seunghwan Lee, Antoine Falisse, Scott Delp, C. Karen Liu
AAAI 2024. [Paper]
31 Aug 2023
Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints
Davide Scassola, Sebastiano Saccani, Ginevra Carbone, Luca Bortolussi
arXiv 2023. [Paper]
31 Aug 2023
Elucidating the Exposure Bias in Diffusion Models
Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Onal Ertugrul
arXiv 2023. [Paper]
29 Aug 2023
Residual Denoising Diffusion Models
Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu
arXiv 2023. [Paper] [Github]
25 Aug 2023
Efficient Transfer Learning in Diffusion Models via Adversarial Noise
Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu
arXiv 2023. [Paper]
23 Aug 2023
Boosting Diffusion Models with an Adaptive Momentum Sampler
Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu
arXiv 2023. [Paper]
23 Aug 2023
Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image
Liao Shen, Xingyi Li, Huiqiang Sun, Juewen Peng, Ke Xian, Zhiguo Cao, Guosheng Lin
ACM MM 2023. [Paper]
20 Aug 2023
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks
Mingxuan Liu, Rui Wen, Hong Chen
arXiv 2023. [Paper]
20 Aug 2023
SciRE-Solver: Efficient Sampling of Diffusion Probabilistic Models by Score-integrand Solver with Recursive Derivative Estimation
Shigui Li, Wei Chen, Delu Zeng
arXiv 2023. [Paper]
15 Aug 2023
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling
Qinsheng Zhang, Jiaming Song, Yongxin Chen
arXiv 2023. [Paper]
4 Aug 2023
Patched Denoising Diffusion Models For High-Resolution Image Synthesis
Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu
arXiv 2023. [Paper]
2 Aug 2023
Spatial-Frequency U-Net for Denoising Diffusion Probabilistic Models
Xin Yuan, Linjie Li, Jianfeng Wang, Zhengyuan Yang, Kevin Lin, Zicheng Liu, Lijuan Wang
arXiv 2023. [Paper]
27 Jul 2023
Synthesis of Batik Motifs using a Diffusion -- Generative Adversarial Network
One Octadion, Novanto Yudistira, Diva Kurnianingtyas
arXiv 2023. [Paper]
22 Jul 2023
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport
Zezeng Li, ShengHao Li, Zhanpeng Wang, Na Lei, Zhongxuan Luo, Xianfeng Gu
arXiv 2023. [Paper] [Github]
21 Jul 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Suttisak Wizadwongsa, Worameth Chinchuthakun, Pramook Khungurn, Amit Raj, Supasorn Suwajanakorn
arXiv 2023. [Paper]
20 Jul 2023
Flow Matching in Latent Space
Quan Dao, Hao Phung, Binh Nguyen, Anh Tran
arXiv 2023. [Paper] [Project]
17 Jul 2023
Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation
Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng
arXiv 2023. [Paper]
17 Jul 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
arXiv 2023. [Paper]
17 Jul 2023
Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
arXiv 2023. [Paper] [Project] [Github]
4 Jul 2023
ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning
Gulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib, Gozde Unal
arXiv 2023. [Paper]
4 Jul 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach
arXiv 2023. [Paper] [Github]
4 Jul 2023
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation
Tserendorj Adiya, Sanghun Kim, Jung Eun Lee, Jae Shin Yoon, Hwasup Lim
arXiv 2023. [Paper]
2 Jul 2023
Spiking Denoising Diffusion Probabilistic Models
Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu
arXiv 2023. [Paper]
29 Jun 2023
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
arXiv 2023. [Paper]
25 Jun 2023
Decoupled Diffusion Models with Explicit Transition Probability
Yuhang Huang, Zheng Qin, Xinwang Liu, Kai Xu
arXiv 2023. [Paper]
23 Jun 2023
Continuous Layout Editing of Single Images with Diffusion Models
Zhiyuan Zhang, Zhitong Huang, Jing Liao
arXiv 2023. [Paper]
22 Jun 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs)
Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, kayhan Batmanghelich, Tingbo Hou
arXiv 2023. [Paper]
21 Jun 2023
Eliminating Lipschitz Singularities in Diffusion Models
Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng
arXiv 2023. [Paper]
20 Jun 2023
GD-VDM: Generated Depth for better Diffusion-based Video Generation
Ariel Lapid, Idan Achituve, Lior Bracha, Ethan Fetaya
arXiv 2023. [Paper]
19 Jun 2023
Image Harmonization with Diffusion Model
Jiajie Li, Jian Wang, Chen Wang, Jinjun Xiong
arXiv 2023. [Paper]
17 Jun 2023
Training Diffusion Classifiers with Denoising Assistance
Chandramouli Sastry, Sri Harsha Dumpala, Sageev Oore
arXiv 2023. [Paper]
15 Jun 2023
Conditional Human Sketch Synthesis with Explicit Abstraction Control
Dar-Yen Chen
arXiv 2023. [Paper]
15 Jun 2023
Fast Training of Diffusion Models with Masked Transformers
Hongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar
arXiv 2023. [Paper] [Github]
15 Jun 2023
Relation-Aware Diffusion Model for Controllable Poster Layout Generation
Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao
arXiv 2023. [Paper]
15 Jun 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
arXiv 2023. [Paper]
15 Jun 2023
DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf
arXiv 2023. [Paper]
13 Jun 2023
Fast Diffusion Model
Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang
arXiv 2023. [Paper] [Github]
12 Jun 2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu
arXiv 2023. [Paper]
8 Jun 2023
Multi-Architecture Multi-Expert Diffusion Models
Yunsung Lee, Jin-Young Kim, Hyojun Go, Myeongho Jeong, Shinhyeok Oh, Seungtaek Choi
arXiv 2023. [Paper]
8 Jun 2023
Interpreting and Improving Diffusion Models Using the Euclidean Distance Function
Frank Permenter, Chenyang Yuan
arXiv 2023. [Paper]
8 Jun 2023
Video Diffusion Models with Local-Global Context Guidance
Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He
IJCAI 2023. [Paper] [Github]
5 Jun 2023
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
arXiv 2023. [Paper]
5 Jun 2023
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2 Jun 2023
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1 Jun 2023
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31 May 2023
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29 May 2023
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22 May 2023
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17 Apr 2023
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14 Apr 2023
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31 Mar 2023
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25 Mar 2023
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22 Mar 2023
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20 Mar 2023
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14 Mar 2023
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11 Mar 2023
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9 Mar 2023
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3 Mar 2023
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2 Mar 2023
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21 Feb 2023
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20 Feb 2023
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17 Feb 2023
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15 Feb 2023
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13 Feb 2023
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6 Feb 2023
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5 Feb 2023
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1 Feb 2023
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31 Jan 2023
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31 Jan 2023
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
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29 Jan 2023
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27 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
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27 Jan 2023
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26 Jan 2023
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26 Jan 2023
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19 Jan 2023
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27 Dec 2022
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Zijian Zhang, Zhou Zhao, Zhijie Lin
arXiv 2022. [Paper]
26 Dec 2022
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Allan Jabri, David Fleet, Ting Chen
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22 Dec 2022
Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation
Alex M. Tseng, Tommaso Biancalani, Max Shen, Gabriele Scalia
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21 Dec 2022
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
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arXiv 2022. [Paper] [Github]
19 Dec 2022
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William Peebles, Saining Xie
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19 Dec 2022
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
Gyeongnyeon Kim, Wooseok Jang, Gyuseong Lee, Susung Hong, Junyoung Seo, Seungryong Kim
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17 Dec 2022
Towards Practical Plug-and-Play Diffusion Models
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13 Dec 2022
MAGVIT: Masked Generative Video Transformer
Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
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10 Dec 2022
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
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Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu
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30 Nov 2022
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30 Nov 2022
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24 Nov 2022
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22 Nov 2022
SceneComposer: Any-Level Semantic Image Synthesis
Yu Zeng, Zhe Lin, Jianming Zhang, Qing Liu, John Collomosse, Jason Kuen, Vishal M. Patel
arXiv 2022. [Paper] [Project]
21 Nov 2022
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training
Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang
arXiv 2022. [Paper]
21 Nov 2022
SinFusion: Training Diffusion Models on a Single Image or Video
Yaniv Nikankin, Niv Haim, Michal Irani
arXiv 2022. [Paper]
21 Nov 2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models
Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
arXiv 2022. [Paper] [Project]
20 Nov 2022
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
Zijiao Chen, Jiaxin Qing, Tiange Xiang, Wan Lin Yue, Juan Helen Zhou
arXiv 2022. [Paper] [Project] [Github]
13 Nov 2022
Few-shot Image Generation with Diffusion Models
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
arXiv 2022. [Paper]
7 Nov 2022
From Denoising Diffusions to Denoising Markov Models
Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
arXiv 2022. [Paper] [Github]
7 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
NeurIPS 2022. [Paper] [Github]
4 Nov 2022
An optimal control perspective on diffusion-based generative modeling
Julius Berner, Lorenz Richter, Karen Ullrich
NeurIPS Workshop 2022. [Paper]
2 Nov 2022
Entropic Neural Optimal Transport via Diffusion Processes
Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry Vetrov, Evgeny Burnaev
arXiv 2022. [Paper]
2 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
NeurIPS 2022 (Oral). [Paper] [Github]
2 Nov 2022
Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models
Vikram Voleti, Christopher Pal, Adam Oberman
NeurIPS Workshop 2022. [Paper]
21 Oct 2022
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle, Zhengyang Geng, Zico Kolter
NeurIPS 2022. [Paper] [Github]
23 Oct 2022
Representation Learning with Diffusion Models
Jeremias Traub
arXiv 2022. [Paper] [Github]
20 Oct 2022
Self-Guided Diffusion Models
Vincent Tao Hu, David W Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
arXiv 2022. [Paper] [Project]
12 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn, Arash Vahdat, Karsten Kreis
NeurIPS 2022. [Paper] [Project [Github]
11 Oct 2022
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Angel Bautista, Josh Susskind
arXiv 2022. [Paper] [Project]
10 Oct 2022
On Distillation of Guided Diffusion Models
Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans
arXiv 2022. [Paper]
6 Oct 2022
Improving Sample Quality of Diffusion Model Using Self-Attention Guidance
Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim
arXiv 2022. [Paper] [Project]
3 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Shlomo Lutati, Lior Wolf
arXiv 2022. [Paper] [Github]
2 Oct 2022
Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2
Ali Borji
arXiv 2022. [Paper] [Github]
2 Oct 2022
Denoising MCMC for Accelerating Diffusion-Based Generative Models
Beomsu Kim, Jong Chul Ye
arXiv 2022. [Paper] [Github]
29 Sep 2022
All are Worth Words: a ViT Backbone for Score-based Diffusion Models
Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu
arXiv 2022. [Paper]
25 Sep 2022
Neural Wavelet-domain Diffusion for 3D Shape Generation
Ka-Hei Hui, Ruihui Li, Jingyu Hu, Chi-Wing Fu
arXiv 2022. [Paper]
19 Sep 2022
Can segmentation models be trained with fully synthetically generated data?
Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S Graham, Tom Vercauteren, M Jorge Cardoso
arXiv 2022. [Paper]
17 Sep 2022
Blurring Diffusion Models
Emiel Hoogeboom, Tim Salimans
arXiv 2022. [Paper]
12 Sep 2022
Soft Diffusion: Score Matching for General Corruptions
Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alexandros G. Dimakis, Peyman Milanfar
arXiv 2022. [Paper]
12 Sep 2022
Improved Masked Image Generation with Token-Critic
José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa
arXiv 2022. [Paper]
9 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
arXiv 2022. [Paper]
31 Aug 2022
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wan-Cyuan Fan, Yen-Chun Chen, DongDong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang
arXiv 2022. [Paper]
29 Aug 2022
Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model
Shin-I Cheng, Yu-Jie Chen, Wei-Chen Chiu, Hsin-Ying Lee, Hung-Yu Tseng
arXiv 2022. [Paper] [Project]
26 Aug 2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S. Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein
arXiv 2022. [Paper] [Github]
19 Aug 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar, Roy Ganz, Michael Elad
arXiv 2022. [Paper]
18 Aug 2022
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
Xiulong Yang, Sheng-Min Shih, Yinlin Fu, Xiaoting Zhao, Shihao Ji
arXiv 2022. [Paper] [Github]
16 Aug 2022
Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling
Ki-Ung Song
arXiv 2022. [Paper] [Github]
15 Aug 2022
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Ting Chen, Ruixiang Zhang, Geoffrey Hinton
arXiv 2022. [Paper]
8 Aug 2022
Pyramidal Denoising Diffusion Probabilistic Models
Dohoon Ryu, Jong Chul Ye
arXiv 2022. [Paper]
3 Aug 2022
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis
Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye
arxiv 2022. [Paper] [Github]
16 Jul 2022
Improving Diffusion Model Efficiency Through Patching
Troy Luhman, Eric Luhman
arXiv 2022. [Paper] [Github]
9 Jul 2022
Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling
Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng
ECCV 2022. [Paper]
5 Jul 2022
SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations
Jinsung Jeon, Noseong Park
arxiv 2022. [Paper]
29 Jun 2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation
Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li
arXiv 2022. [Paper]
23 Jun 2022
Generative Modelling With Inverse Heat Dissipation
Severi Rissanen, Markus Heinonen, Arno Solin
arXiv 2022. [Paper] [Project]
21 Jun 2022
Diffusion models as plug-and-play priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
NeurIPS 2022. [Paper] [Github]
17 Jun 2022
A Flexible Diffusion Model
Weitao Du, Tao Yang, He Zhang, Yuanqi Du
ICML 2023. [Paper]
17 Jun 2022
Lossy Compression with Gaussian Diffusion
Lucas Theis, Tim Salimans, Matthew D. Hoffman, Fabian Mentzer
arXiv 2022. [Paper]
17 Jun 2022
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
ICML 2022. [Paper] [Github]
16 Jun 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
ICML 2022. [Paper] [Github]
15 Jun 2022
Diffusion Models for Video Prediction and Infilling
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
arXiv 2022. [Paper]
15 Jun 2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
arXiv 2022. [Paper] [Github]
15 Jun 2022
gDDIM: Generalized denoising diffusion implicit models
Qinsheng Zhang, Molei Tao, Yongxin Chen
arXiv 2022. [Paper] [Github]
11 Jun 2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
arXiv 2022. [Paper]
10 Jun 2022
Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models
Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M Patel
arXiv 2022. [Paper]
10 Jun 2022
Accelerating Score-based Generative Models for High-Resolution Image Synthesis
Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, Jianfeng Feng
arXiv 2022. [Paper]
8 Jun 2022
Diffusion-GAN: Training GANs with Diffusion
Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
arXiv 2022. [Paper]
5 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
NeurrIPS 2022. [Paper] [Github]
2 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
NeurIPS 2022. [Paper]
1 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Kamil Deja, Anna Kuzina, Tomasz Trzciński, Jakub M. Tomczak
NeurIPS 2022. [Paper]
31 May 2022
Few-Shot Diffusion Models
Giorgio Giannone, Didrik Nielsen, Ole Winther
arXiv 2022. [Paper]
30 May 2022
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet
arXiv 2022. [Paper]
30 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
NeurIPS 2022. [Paper]
27 May 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Zhaoyang Lyu, Xudong XU, Ceyuan Yang, Dahua Lin, Bo Dai
ICML 2022. [Paper]
25 May 2022
Flexible Diffusion Modeling of Long Videos
William Harvey, Saeid Naderiparizi, Vaden Masrani, Christian Weilbach, Frank Wood
arXiv 2022. [Paper] [Github]
23 May 2022
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal
NeurIPS 2022. [Paper] [Github]
19 May 2022
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models
Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
CVPR Workshop 2022. [Paper]
8 May 2022
Subspace Diffusion Generative Models
Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola
arXiv 2022. [Paper] [Github]
3 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator
Qinsheng Zhang, Yongxin Chen
arXiv 2022. [Paper]
29 Apr 2022
Semi-Parametric Neural Image Synthesis
Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, Björn Ommer
NeurIPS 2022. [Paper]
25 Apr 2022
Video Diffusion Models
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet
NeurIPS 2022. [Paper]
7 Apr 2022
Perception Prioritized Training of Diffusion Models
Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon
CVPR 2022. [Paper] [Github]
1 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models
Vikash Sehwag, Caner Hazirbas, Albert Gordo, Firat Ozgenel, Cristian Canton Ferrer
arXiv 2022. [Paper]
31 Mar 2022
Diffusion Models for Counterfactual Explanations
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
arXiv 2022. [Paper]
29 Mar 2022
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee
ICLR 2022. [Paper]
27 Mar 2022
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang, Prakhar Srivastava, Stephan Mandt
arXiv 2022. [Paper] [Github]
16 Mar 2022
Dynamic Dual-Output Diffusion Models
Yaniv Benny, Lior Wolf
CVPR 2022. [Paper]
8 Mar 2022
Conditional Simulation Using Diffusion Schrödinger Bridges
Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
arXiv 2022. [Paper]
27 Feb 2022
Diffusion Causal Models for Counterfactual Estimation
Pedro Sanchez, Sotirios A. Tsaftaris
PMLR 2022. [Paper]
21 Feb 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds
Luping Liu, Yi Ren, Zhijie Lin, Zhou Zhao
ICLR 2022. [Paper] [Github]
20 Feb 2022
Truncated Diffusion Probabilistic Models
Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
arXiv 2022. [Paper]
19 Feb 2022
Understanding DDPM Latent Codes Through Optimal Transport
Valentin Khrulkov, Ivan Oseledets
arXiv 2022. [Paper]
14 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi
ICLR 2022. [Paper]
11 Feb 2022
Diffusion bridges vector quantized Variational AutoEncoders
Max Cohen, Guillaume Quispe, Sylvain Le Corff, Charles Ollion, Eric Moulines
ICML 2022. [Paper]
10 Feb 2022
Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans, Jonathan Ho
ICLR 2022. [Paper]
1 Feb 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
ICLR 2022. [Paper]
17 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar
arXiv 2022. [Paper] [Github]
2 Jan 2022
Itô-Taylor Sampling Scheme for Denoising Diffusion Probabilistic Models using Ideal Derivatives
Hideyuki Tachibana, Mocho Go, Muneyoshi Inahara, Yotaro Katayama, Yotaro Watanabe
arXiv 2021. [Paper]
26 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen
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20 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
arXiv 2021. [Paper] [Github]
20 Dec 2021
Heavy-tailed denoising score matching
Jacob Deasy, Nikola Simidjievski, Pietro Liò
arXiv 2021. [Paper]
17 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation Knows About
Florian Bordes, Randall Balestriero, Pascal Vincent
arXiv 2021. [Paper]
16 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao, Karsten Kreis, Arash Vahdat
arXiv 2021. [Paper] [Project]
15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn, Arash Vahdat, Karsten Kreis
ICLR 2022. [Paper] [Project]
14 Dec 2021
More Control for Free! Image Synthesis with Semantic Diffusion Guidance
Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell
arXiv 2021. [Paper]
10 Dec 2021
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, P.N.Suganthan
arXiv 2021. [Paper]
3 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn
CVPR 2022. [Paper] [Project] [Github]
30 Dec 2021
Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2021. [Paper]
26 Nov 2021
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks
arXiv 2021. [Paper] [Github]
24 Nov 2021
Diffusion Normalizing Flow
Qinsheng Zhang, Yongxin Chen
NeurIPS 2021. [Paper] [Github]
14 Oct 2021
Denoising Diffusion Gamma Models
Eliya Nachmani, Robin San Roman, Lior Wolf
arXiv 2021. [Paper]
10 Oct 2021
Score-based Generative Neural Networks for Large-Scale Optimal Transport
Max Daniels, Tyler Maunu, Paul Hand
arXiv 2021. [Paper]
7 Oct 2021
Score-Based Generative Classifiers
Roland S. Zimmermann, Lukas Schott, Yang Song, Benjamin A. Dunn, David A. Klindt
arXiv 2021. [Paper]
1 Oct 2021
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Jonathan Ho, Tim Salimans
NeurIPS Workshop 2021. [Paper]
28 Sep 2021
Bilateral Denoising Diffusion Models
Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, Dong Yu
arXiv 2021. [Paper] [Project]
26 Aug 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser, Robin Rombach, Andreas Blattmann, Björn Ommer
NeurIPS 2021. [Paper] [Project]
19 Aug 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
ICCV 2021 (Oral). [Paper] [Github]
6 Aug 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon
ICLR 2022. [Paper] [Project] [Github]
2 Aug 2021
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg
NeurIPS 2021. [Paper]
7 Jul 2021
Variational Diffusion Models
Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho
arXiv 2021. [Paper] [Github]
1 Jul 2021
Diffusion Priors In Variational Autoencoders
Antoine Wehenkel, Gilles Louppe
ICML Workshop 2021. [Paper]
29 Jun 2021
Deep Generative Learning via Schrödinger Bridge
Gefei Wang, Yuling Jiao, Qian Xu, Yang Wang, Can Yang
ICML 2021. [Paper]
19 Jun 2021
Non Gaussian Denoising Diffusion Models
Eliya Nachmani, Robin San Roman, Lior Wolf
arXiv 2021. [Paper] [Project]
14 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha, Jiaming Song, Chenlin Meng, Stefano Ermon
NeurIPS 2021. [Paper] [Project] [Github]
12 Jun 2021
Score-based Generative Modeling in Latent Space
Arash Vahdat, Karsten Kreis, Jan Kautz
arXiv 2021. [Paper]
10 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models
Daniel Watson, Jonathan Ho, Mohammad Norouzi, William Chan
arXiv 2021. [Paper]
7 Jun 2021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang, Jae Hyun Lim, Aaron Courville
NeurIPS 2021. [Paper] [Github]
5 Jun 2021
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
ICML 2022. [Paper]
10 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet
arXiv 2021. [Paper] [Project] [Github]
1 Jun 2021
On Fast Sampling of Diffusion Probabilistic Models
Zhifeng Kong, Wei Ping
ICML Workshop 2021. [Paper] [Github]
31 May 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
JMLR 2021. [Paper] [Project]
30 May 2021
Gotta Go Fast When Generating Data with Score-Based Models
Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas
arXiv 2021. [Paper] [Github]
28 May 2021
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal, Alex Nichol
arXiv 2021. [Paper] [Github]
11 May 2021
Image Super-Resolution via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
arXiv 2021. [Paper] [Project] [Github]
15 Apr 2021
Noise Estimation for Generative Diffusion Models
Robin San-Roman, Eliya Nachmani, Lior Wolf
arXiv 2021. [Paper]
6 Apr 2021
Improved Denoising Diffusion Probabilistic Models
Alex Nichol, Prafulla Dhariwal
ICLR 2021. [Paper] [Github]
18 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song, Conor Durkan, Iain Murray, Stefano Ermon
arXiv 2021. [Paper]
22 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman, Troy Luhman
arXiv 2021. [Paper] [Github]
7 Jan 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma
ICLR 2021. [Paper] [Github]
15 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole
ICLR 2021 (Oral). [Paper] [Github]
26 Nov 2020
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
ICML 2021. [Paper]
16 Oct 2020
Denoising Diffusion Implicit Models
Jiaming Song, Chenlin Meng, Stefano Ermon
ICLR 2021. [Paper] [Github]
6 Oct 2020
Adversarial score matching and improved sampling for image generation
Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Rémi Tachet des Combes, Ioannis Mitliagkas
ICLR 2021. [Paper] [Github]
11 Sep 2020
Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, Pieter Abbeel
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19 Jun 2020
Improved Techniques for Training Score-Based Generative Models
Yang Song, Stefano Ermon
NeurIPS 2020. [Paper] [Github]
16 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song, Stefano Ermon
NeurIPS 2019. [Paper] [Project] [Github]
12 Jul 2019
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit
Belinda Tzen, Maxim Raginsky
arXiv 2019. [Paper]
23 May 2019
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, Surya Ganguli
ICML 2015. [Paper] [Github]
2 Mar 2015
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Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models
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BMVC 2023. [Paper]
26 Oct 2023
Multi-scale Diffusion Denoised Smoothing
Jongheon Jeong, Jinwoo Shin
NeurIPS 2023. [Paper]
25 Oct 2023
DiffRef3D: A Diffusion-based Proposal Refinement Framework for 3D Object Detection
Se-Ho Kim, Inyong Koo, Inyoung Lee, Byeongjun Park, Changick Kim
arXiv 2023. [Paper]
25 Oct 2023
Denoising Task Routing for Diffusion Models
Byeongjun Park, Sangmin Woo, Hyojun Go, Jin-Young Kim, Changick Kim
arXiv 2023. [Paper]
11 Oct 2023
Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data
Lukas Struppek, Martin B. Hentschel, Clifton Poth, Dominik Hintersdorf, Kristian Kersting
arXiv 2023. [Paper] [Github]
10 Oct 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li
NeurIPS 2023. [Paper] [Github]
23 Sep 2023
Zero-Shot Object Counting with Language-Vision Models
Jingyi Xu, Hieu Le, Dimitris Samaras
CVPR 2023. [Paper] [Github]
22 Sep 2023
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Jingdong Wang, Qinghua Zheng
arXiv 2023. [Paper]
20 Sep 2023
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1 Dec 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
NeurIPS 2021. [Paper]
10 Feb 2021
Image Translation
Latent Diffusion Counterfactual Explanations
Karim Farid, Simon Schrodi, Max Argus, Thomas Brox
arXiv 2023. [Paper]
10 Oct 2023
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption
Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma
ICCV 2023. [Paper]
7 Sep 2023
Latent Painter
Shih-Chieh Su
arXiv 2023. [Paper]
31 Aug 2023
Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models
Zhanbo Feng, Zenan Ling, Ci Gong, Feng Zhou, Jie Li, Robert C. Qiu
arXiv 2023. [Paper]
30 Aug 2023
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timotfe, Luc Van Gool
arXiv 2023. [Paper]
26 Aug 2023
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation
Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang
arXiv 2023. [Paper]
20 Aug 2023
MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance
Ernie Chu, Tzuhsuan Huang, Shuo-Yen Lin, Jun-Cheng Chen
arXiv 2023. [Paper] [Project]
19 Aug 2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Zhizhong Wang, Lei Zhao, Wei Xing
arXiv 2023. [Paper]
15 Aug 2023
Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training
Ximing Xing, Chuang Wang, Haitao Zhou, Zhihao Hu, Chongxuan Li, Dong Xu, Qian Yu
arXiv 2023. [Paper]
15 Aug 2023
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
Junhong Gou, Siyu Sun, Jianfu Zhang, Jianlou Si, Chen Qian, Liqing Zhang
ACM MM 2023. [Paper]
11 Aug 2023
Head Rotation in Denoising Diffusion Models
Andrea Asperti, Gabriele Colasuonno, Antonio Guerra
arXiv 2023. [Paper]
11 Aug 2023
Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models
Ioannis Pikoulis, Panagiotis P. Filntisis, Petros Maragos
arXiv 2023. [Paper]
6 Aug 2023
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
Shikun Sun, Longhui Wei, Junliang Xing, Jia Jia, Qi Tian
ICML 2023. [Paper]
4 Aug 2023
Interpolating between Images with Diffusion Models
Clinton J. Wang, Polina Golland
ICML Workshop 2023. [Paper] [Project] [Github]
24 Jul 2023
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong
ICCV 2023. [Paper] [Github]
24 Jul 2023
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation
Yipeng Leng, Qiangjuan Huang, Zhiyuan Wang, Yangyang Liu, Haoyu Zhang
arXiv 2023. [Paper]
12 Jul 2023
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer
Dan Ruta, Gemma Canet Tarrés, Andrew Gilbert, Eli Shechtman, Nicholas Kolkin, John Collomosse
arXiv 2023. [Paper]
9 Jul 2023
Applying a Color Palette with Local Control using Diffusion Models
Vaibhav Vavilala, David Forsyth
arXiv 2023. [Paper]
6 Jul 2023
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, Jian Zhang
arXiv 2023. [Paper] [Project]
5 Jul 2023
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
arXiv 2023. [Paper]
26 Jun 2023
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models
Dar-Yen Chen
arXiv 2023. [Paper] [Github]
15 Jun 2023
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
ICML 2023. [Paper]
14 Jun 2023
TryOnDiffusion: A Tale of Two UNets
Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman
CVPR 2023. [Paper]
14 Jun 2023
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
7 Jun 2023
DiffSketching: Sketch Control Image Synthesis with Diffusion Models
Qiang Wang, Di Kong, Fengyin Lin, Yonggang Qi
arXiv 2023. [Paper]
30 May 2023
Real-World Image Variation by Aligning Diffusion Inversion Chain
Yuechen Zhang, Jinbo Xing, Eric Lo, Jiaya Jia
arXiv 2023. [Paper]
30 May 2023
Photoswap: Personalized Subject Swapping in Images
Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang
arXiv 2023. [Paper] [Project]
29 May 2023
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell
arXiv 2023. [Paper] [Github]
25 May 2023
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye
arXiv 2023. [Paper] [Github]
24 May 2023
SAR-to-Optical Image Translation via Thermodynamics-inspired Network
Mingjin Zhang, Jiamin Xu, Chengyu He, Wenteng Shang, Yunsong Li, Xinbo Gao
arXiv 2023. [Paper]
23 May 2023
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang
arXiv 2023. [Paper] [Project] [Github]
11 May 2023
ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
Yupei Lin, Sen Zhang, Xiaojun Yang, Xiao Wang, Yukai Shi
arXiv 2023. [Paper] [Project]
8 May 2023
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
Zeyu Lu, Chengyue Wu, Xinyuan Chen, Yaohui Wang, Yu Qiao, Xihui Liu
arXiv 2023. [Paper]
24 Apr 2023
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang
CVPR 2023. [Paper] [Project] [Github]
13 Apr 2023
Face Animation with an Attribute-Guided Diffusion Model
Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, Baochang Zhang
arXiv 2023. [Paper]
6 Apr 2023
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo
arXiv 2023. [Paper]
31 Mar 2023
Training-free Style Transfer Emerges from h-space in Diffusion models
Jaeseok Jeong, Mingi Kwon, Youngjung Uh
arXiv 2023. [Paper] [Project] [Github]
27 Mar 2023
Diffusion-based Target Sampler for Unsupervised Domain Adaptation
Yulong Zhang, Shuhao Chen, Yu Zhang, Jiangang Lu
arXiv 2023. [Paper]
17 Mar 2023
StyO: Stylize Your Face in Only One-Shot
Bonan Li, Zicheng Zhang, Xuecheng Nie, Congying Han, Yinhan Hu, Tiande Guo
arXiv 2023. [Paper]
6 Mar 2023
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models
Shidong Cao, Wenhao Chai, Shengyu Hao, Yanting Zhang, Hangyue Chen, Gaoang Wang
arXiv 2023. [Paper]
14 Feb 2023
I2SB: Image-to-Image Schrödinger Bridge
Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar
arXiv 2023. [Paper] [Project]
12 Feb 2023
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion
Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu
arXiv 2023. [Paper]
31 Jan 2023
DiffFace: Diffusion-based Face Swapping with Facial Guidance
Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, KwangHee Lee
arXiv 2022. [Paper] [Project]
27 Dec 2022
HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping
Qinghe Wang, Lijie Liu, Miao Hua, Qian He, Pengfei Zhu, Bing Cao, Qinghua Hu
arXiv 2022. [Paper]
13 Dec 2022
Inversion-Based Creativity Transfer with Diffusion Models
Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu
CVPR 2023. [Paper] [Github]
23 Nov 2022
Person Image Synthesis via Denoising Diffusion Model
Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Mubarak Shah, Fahad Shahbaz Khan
arXiv 2022. [Paper]
22 Nov 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
Chen Henry Wu, Fernando De la Torre
arXiv 2022. [Paper] [Github-1] [Github-2]
11 Oct 2022
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation
Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch
BMVC 2022. [Paper]
4 Oct 2022
Diffusion-based Image Translation using Disentangled Style and Content Representation
Gihyun Kwon, Jong Chul Ye
arXiv 2022. [Paper]
30 Sep 2022
MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation
Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim
arXiv 2022. [Paper] [Project]
22 Sep 2022
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Ozan Özdenizci, Robert Legenstein
arXiv 2022. [Paper]
29 Jul 2022
Non-Uniform Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2022. [Paper]
20 Jul 2022
Unsupervised Medical Image Translation with Adversarial Diffusion Models
Muzaffer Özbey, Salman UH Dar, Hasan A Bedel, Onat Dalmaz, Şaban Özturk, Alper Güngör, Tolga Çukur
arXiv 2022. [Paper]
17 Jul 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
arXiv 2022. [Paper]
14 Jul 2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
arXiv 2022. [Paper] [Github]
15 Jun 2022
Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen
arXiv 2022. [Paper] [Project] [Github]
25 May 2022
VQBB: Image-to-image Translation with Vector Quantized Brownian Bridge
Bo Li, Kaitao Xue, Bin Liu, Yu-Kun Lai
arXiv 2022. [Paper]
16 May 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin
arXiv 2022. [Paper]
6 Apr 2022
Dual Diffusion Implicit Bridges for Image-to-Image Translation
Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon
arXiv 2022. [Paper]
16 Mar 2022
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song
NeurIPS 2022. [Paper]
27 Jan 2022
DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models
Boah Kim, Inhwa Han, Jong Chul Ye
arXiv 2021. [Paper]
9 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn
arXiv 2021. [Paper] [Project]
30 Dec 2021
Conditional Image Generation with Score-Based Diffusion Models
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
arXiv 2021. [Paper]
26 Nov 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
ICCV 2021 (Oral). [Paper] [Github]
6 Aug 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models
Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon
arXiv 2021. [Paper]
12 Apr 2021
Inverse Problems
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang, Jiang He, Xianyu Jin, Liangpei Zhang
arXiv 2023. [Paper]
30 Oct 2023
Global Structure-Aware Diffusion Process for Low-Light Image Enhancement
Jinhui Hou, Zhiyu Zhu, Junhui Hou, Hui Liu, Huanqiang Zeng, Hui Yuan
arXiv 2023. [Paper]
26 Oct 2023
From Posterior Sampling to Meaningful Diversity in Image Restoration
Noa Cohen, Hila Manor, Yuval Bahat, Tomer Michaeli
arXiv 2023. [Paper]
24 Oct 2023
Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation
Yanfang Liu, Minglei Yang, Zezhong Zhang, Feng Bao, Yanzhao Cao, Guannan Zhang
arXiv 2023. [Paper]
22 Oct 2023
High-Quality 3D Face Reconstruction with Affine Convolutional Networks
Zhiqian Lin, Jiangke Lin, Lincheng Li, Yi Yuan, Zhengxia Zou
arXiv 2023. [Paper]
22 Oct 2023
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach
Feng Luo, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
arXiv 2023. [Paper]
18 Oct 2023
Towards image compression with perfect realism at ultra-low bitrates
Marlène Careil, Matthew J. Muckley, Jakob Verbeek, Stéphane Lathuilière
arXiv 2023. [Paper]
16 Oct 2023
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion
Yitong Jiang, Zhaoyang Zhang, Tianfan Xue, Jinwei Gu
arXiv 2023. [Paper]
16 Oct 2023
Exploring the Design Space of Diffusion Autoencoders for Face Morphing
Zander Blasingame, Chen Liu
arXiv 2023. [Paper]
14 Oct 2023
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT
Wenjun Xia, Yongyi Shi, Chuang Niu, Wenxiang Cong, Ge Wang
arXiv 2023. [Paper]
10 Oct 2023
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models
Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz
MICCAI 2023. [Paper] [Github]
3 Oct 2023
Conditional Diffusion Distillation
Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar
arXiv 2023. [Paper]
2 Oct 2023
CommIN: Semantic Image Communications as an Inverse Problem with INN-Guided Diffusion Models
Jiakang Chen, Di You, Deniz Gündüz, Pier Luigi Dragotti
arXiv 2023. [Paper]
2 Oct 2023
Prompt-tuning latent diffusion models for inverse problems
Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio
arXiv 2023. [Paper]
2 Oct 2023
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis
Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks
ICCV 2023. [Paper]
30 Sep 2023
Generating Visual Scenes from Touch
Fengyu Yang, Jiacheng Zhang, Andrew Owens
ICCV 2023. [Paper] [Project]
26 Sep 2023
Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement
Jiancheng Huang, Yifan Liu, Shifeng Chen
arXiv 2023. [Paper]
26 Sep 2023
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation
Tsiry Mayet, Simon Bernard, Clement Chatelain, Romain Herault
arXiv 2023. [Paper]
25 Sep 2023
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation
Yulong Zhang, Shuhao Chen, Weisen Jiang, Yu Zhang, Jiangang Lu, James T. Kwok
arXiv 2023. [Paper]
23 Sep 2023
License Plate Super-Resolution Using Diffusion Models
Sawsan AlHalawani, Bilel Benjdira, Adel Ammar, Anis Koubaa, Anas M. Ali
arXiv 2023. [Paper]
21 Sep 2023
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal
Xiao Feng Zhang, Tian Yi Song, Jia Wei Yao
arXiv 2023. [Paper]
21 Sep 2023
Face Aging via Diffusion-based Editing
Xiangyi Chen, Stéphane Lathuilière
arXiv 2023. [Paper]
20 Sep 2023
PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
Peiqing Yang, Shangchen Zhou, Qingyi Tao, Chen Change Loy
NeurIPS 2023. [Paper] [Github]
19 Sep 2023
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising
Yujin Wang, Lingen Li, Tianfan Xue, Jinwei Gu
arXiv 2023. [Paper]
19 Sep 2023
Gradpaint: Gradient-Guided Inpainting with Diffusion Models
Asya Grechka, Guillaume Couairon, Matthieu Cord
arXiv 2023. [Paper]
18 Sep 2023
AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting
Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, Ugo Tanielian
arXiv 2023. [Paper]
8 Sep 2023
Underwater Image Enhancement by Transformer-based Diffusion Model with Non-uniform Sampling for Skip Strategy
Yi Tang, Takafumi Iwaguchi, Hiroshi Kawasaki
ACM MM 2023. [Paper] [Github]
7 Sep 2023
Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior
Berthy T. Feng, Katherine L. Bouman
arXiv 2023. [Paper]
5 Sep 2023
Diffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI Reconstruction
Wanyu Bian, Albert Jang, Fang Liu
arXiv 2023. [Paper]
2 Sep 2023
Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction
Yu Guan, Chuanming Yu, Shiyu Lu, Zhuoxu Cui, Dong Liang, Qiegen Liu
arXiv 2023. [Paper] [Github]
2 Sep 2023
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution
Charles Laroche, Andrés Almansa, Eva Coupete
arXiv 2023. [Paper] [Github]
1 Sep 2023
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang
arXiv 2023. [Paper]
31 Aug 2023
Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction
Kai Xu, Shiyu Lu, Bin Huang, Weiwen Wu, Qiegen Liu
arXiv 2023. [Paper]
30 Aug 2023
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Yihang Zhou, Haifeng Wang, Yanjie Zhu, Jianping Zhang, Qiegen Liu, Dong Liang
arXiv 2023. [Paper]
30 Aug 2023
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Ben Fei, Bo Dai, Wanli Ouyang, Yu Qiao, Chao Dong
arXiv 2023. [Paper] [Github]
29 Aug 2023
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
Tao Yang, Peiran Ren, Xuansong Xie, Lei Zhang
AAAI 2024. [Paper]
28 Aug 2023
Data-iterative Optimization Score Model for Stable Ultra-Sparse-View CT Reconstruction
Weiwen Wu, Yanyang Wang
arXiv 2023. [Paper]
28 Aug 2023
Residual Denoising Diffusion Models
Jiawei Liu, Qiang Wang, Huijie Fan, Yinong Wang, Yandong Tang, Liangqiong Qu
arXiv 2023. [Paper] [Github]
25 Aug 2023
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model
Xunpeng Yi, Han Xu, Hao Zhang, Linfeng Tang, Jiayi Ma
ICCV 2023. [Paper]
25 Aug 2023
Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model
Shaoyan Pan, Elham Abouei, Junbo Peng, Joshua Qian, Jacob F Wynne, Tonghe Wang, Chih-Wei Chang, Justin Roper, Jonathon A Nye, Hui Mao, Xiaofeng Yang
arXiv 2023. [Paper]
24 Aug 2023
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model
Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan Marinescu
MICCAI 2023. [Paper] [Github]
23 Aug 2023
High-quality Image Dehazing with Diffusion Model
Hu Yu, Jie Huang, Kaiwen Zheng, Man Zhou, Feng Zhao
arXiv 2023. [Paper]
23 Aug 2023
Frequency Compensated Diffusion Model for Real-scene Dehazing
Jing Wang, Songtao Wu, Kuanhong Xu, Zhiqiang Yuan
arXiv 2023. [Paper]
21 Aug 2023
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction
Zeyu Han, Yuhan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen
MICCAI 2023. [Paper] [Github]
20 Aug 2023
DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement
Shuzhou Yang, Xuanyu Zhang, Yinhuai Wang, Jiwen Yu, Yuhan Wang, Jian Zhang
arXiv 2023. [Paper]
18 Aug 2023
Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration
Liyan Wang, Qinyu Yang, Cong Wang, Wei Wang, Jinshan Pan, Zhixun Su
arXiv 2023. [Paper]
17 Aug 2023
Monte Carlo guided Diffusion for Bayesian linear inverse problems
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines
arXiv 2023. [Paper]
15 Aug 2023
Geometry of the Visual Cortex with Applications to Image Inpainting and Enhancement
Francesco Ballerin, Erlend Grong
arXiv 2023. [Paper] [Github]
15 Aug 2023
YODA: You Only Diffuse Areas. An Area-Masked Diffusion Approach For Image Super-Resolution
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
arXiv 2023. [Paper]
15 Aug 2023
TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-Resolution
Baolin Liu, Zongyuan Yang, Pengfei Wang, Junjie Zhou, Ziqi Liu, Ziyi Song, Yan Liu, Yongping Xiong
AAAI 2024. [Paper]
13 Aug 2023
CLE Diffusion: Controllable Light Enhancement Diffusion Model
Yuyang Yin, Dejia Xu, Chuangchuang Tan, Ping Liu, Yao Zhao, Yunchao Wei
arXiv 2023. [Paper] [Project] [Github]
13 Aug 2023
Diffusion-Augmented Depth Prediction with Sparse Annotations
Jiaqi Li, Yiran Wang, Zihao Huang, Jinghong Zheng, Ke Xian, Zhiguo Cao, Jianming Zhang
arXiv 2023. [Paper]
4 Aug 2023
Painterly Image Harmonization using Diffusion Model
Lingxiao Lu, Jiangtong Li, Junyan Cao, Li Niu, Liqing Zhang
arXiv 2023. [Paper]
4 Aug 2023
Reference-Free Isotropic 3D EM Reconstruction using Diffusion Models
Kyungryun Lee, Won-Ki Jeong
arXiv 2023. [Paper]
3 Aug 2023
Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction
Muhammad U. Mirza, Onat Dalmaz, Hasan A. Bedel, Gokberk Elmas, Yilmaz Korkmaz, Alper Gungor, Salman UH Dar, Tolga Çukur
arXiv 2023. [Paper]
2 Aug 2023
Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models
Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus
MICCAI Workshop 2023. [Paper] [Github]
29 Jul 2023
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement
Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Bjorn Stenger, Tae-Kyun Kim, Wei Liu, Hongdong Li
arXiv 2023. [Paper]
27 Jul 2023
Artifact Restoration in Histology Images with Diffusion Probabilistic Models
Zhenqi He, Junjun He, Jin Ye, Yiqing Shen
arXiv 2023. [Paper] [Github]
26 Jul 2023
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
Zongsheng Yue, Jianyi Wang, Chen Change Loy
arXiv 2023. [Paper] [Github]
23 Jul 2023
Iterative Reconstruction Based on Latent Diffusion Model for Sparse Data Reconstruction
Linchao He, Hongyu Yan, Mengting Luo, Kunming Luo, Wang Wang, Wenchao Du, Hu Chen, Hongyu Yang, Yi Zhang
arXiv 2023. [Paper]
22 Jul 2023
PartDiff: Image Super-resolution with Partial Diffusion Models
Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang, Haoxin Zheng, Kyunghyun Sung
arXiv 2023. [Paper]
21 Jul 2023
Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap
Dejia Xu, Xingqian Xu, Wenyan Cong, Humphrey Shi, Zhangyang Wang
arXiv 2023. [Paper] [Project]
20 Jul 2023
AnyDoor: Zero-shot Object-level Image Customization
Xi Chen, Lianghua Huang, Yu Liu, Yujun Shen, Deli Zhao, Hengshuang Zhao
arXiv 2023. [Paper] [Project]
18 Jul 2023
Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond
Yang Zhao, Tingbo Hou, Yu-Chuan Su, Xuhui Jia. Yandong Li, Matthias Grundmann
ICCV 2023. [Paper]
18 Jul 2023
Flow Matching in Latent Space
Quan Dao, Hao Phung, Binh Nguyen, Anh Tran
arXiv 2023. [Paper] [Project]
17 Jul 2023
Identity-Preserving Aging of Face Images via Latent Diffusion Models
Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir Memon
IJCB 2023. [Paper]
17 Jul 2023
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
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16 Jul 2023
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15 Jul 2023
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11 Jul 2023
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8 Jul 2023
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6 Jul 2023
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6 Jul 2023
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution
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3 Jul 2023
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2 Jul 2023
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2 Jul 2023
Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling
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30 Jun 2023
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29 Jun 2023
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28 Jun 2023
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27 Jun 2023
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25 Jun 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
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23 Jun 2023
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22 Jun 2023
DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images
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21 Jun 2023
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21 Jun 2023
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20 Jun 2023
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12 Jun 2023
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6 Jun 2023
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5 Jun 2023
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
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1 Jun 2023
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1 Jun 2023
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31 May 2023
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31 May 2023
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26 May 2023
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25 May 2023
A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising
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25 May 2023
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24 May 2023
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23 May 2023
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20 May 2023
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17 May 2023
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16 May 2023
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8 May 2023
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8 May 2023
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7 May 2023
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6 Apr 2023
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22 Mar 2023
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CustomNet: Zero-shot Object Customization with Variable-Viewpoints in Text-to-Image Diffusion Models
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30 Oct 2023
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28 Oct 2023
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26 Oct 2023
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CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
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Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models
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23 Oct 2023
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19 Oct 2023
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19 Oct 2023
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17 Oct 2023
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16 Oct 2023
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16 Oct 2023
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16 Oct 2023
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16 Oct 2023
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15 Oct 2023
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12 Oct 2023
OmniControl: Control Any Joint at Any Time for Human Motion Generation
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12 Oct 2023
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GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors
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12 Oct 2023
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11 Oct 2023
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models
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11 Oct 2023
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10 Oct 2023
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IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts
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Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts
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4 Oct 2023
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4 Oct 2023
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2 Oct 2023
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30 Sep 2023
DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion Models
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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
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30 Sep 2023
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29 Sep 2023
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29 Sep 2023
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28 Sep 2023
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27 Sep 2023
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27 Sep 2023
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LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
Yaohui Wang, Xinyuan Chen, Xin Ma, Shangchen Zhou, Ziqi Huang, Yi Wang, Ceyuan Yang, Yinan He, Jiashuo Yu, Peiqing Yang, Yuwei Guo, Tianxing Wu, Chenyang Si, Yuming Jiang, Cunjian Chen, Chen Change Loy, Bo Dai, Dahua Lin, Yu Qiao, Ziwei Liu
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Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator
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23 Sep 2023
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22 Sep 2023
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
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22 Sep 2023
DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis
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22 Sep 2023
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20 Sep 2023
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19 Sep 2023
What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews
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Causal-Story: Local Causal Attention Utilizing Parameter-Efficient Tuning For Visual Story Synthesis
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17 Sep 2023
PromptTTS++: Controlling Speaker Identity in Prompt-Based Text-to-Speech Using Natural Language Descriptions
Reo Shimizu, Ryuichi Yamamoto, Masaya Kawamura, Yuma Shirahata, Hironori Doi, Tatsuya Komatsu, Kentaro Tachibana
arXiv 2023. [Paper]
15 Sep 2023
AV2Wav: Diffusion-Based Re-synthesis from Continuous Self-supervised Features for Audio-Visual Speech Enhancement
Ju-Chieh Chou, Chung-Ming Chien, Karen Livescu
arXiv 2023. [Paper]
14 Sep 2023
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models
James Burgess, Kuan-Chieh Wang, Serena Yeung
arXiv 2023. [Paper] [Github]
14 Sep 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach
Guillaume Jeanneret, Loïc Simon, Frédéric Jurie
arXiv 2023. [Paper]
14 Sep 2023
Large-Vocabulary 3D Diffusion Model with Transformer
Ziang Cao, Fangzhou Hong, Tong Wu, Liang Pan, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
14 Sep 2023
DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks
Zipeng Qi, Xulong Zhang, Ning Cheng, Jing Xiao, Jianzong Wang
arXiv 2023. [Paper]
14 Sep 2023
Diffusion models for audio semantic communication
Eleonora Grassucci, Christian Marinoni, Andrea Rodriguez, Danilo Comminiello
arXiv 2023. [Paper]
13 Sep 2023
DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models
Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong
arXiv 2023. [Paper]
13 Sep 2023
DCTTS: Discrete Diffusion Model with Contrastive Learning for Text-to-speech Generation
Zhichao Wu, Qiulin Li, Sixing Liu, Qun Yang
arXiv 2023. [Paper]
13 Sep 2023
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, Qiang Liu
arXiv 2023. [Paper] [Github]
12 Sep 2023
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
Yin Wang, Zhiying Leng, Frederick W. B. Li, Shun-Cheng Wu, Xiaohui Liang
ICCV 2023. [Paper]
12 Sep 2023
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
arXiv 2023. [Paper]
12 Sep 2023
PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models
Li Chen, Mengyi Zhao, Yiheng Liu, Mingxu Ding, Yangyang Song, Shizun Wang, Xu Wang, Hao Yang, Jing Liu, Kang Du, Min Zheng
arXiv 2023. [Paper] [Project]
11 Sep 2023
PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud
Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang
arXiv 2023. [Paper]
11 Sep 2023
Diffusion-Based Co-Speech Gesture Generation Using Joint Text and Audio Representation
Anna Deichler, Shivam Mehta, Simon Alexanderson, Jonas Beskow
ICMI 2023. [Paper]
11 Sep 2023
Effective Real Image Editing with Accelerated Iterative Diffusion Inversion
Zhihong Pan, Riccardo Gherardi, Xiufeng Xie, Stephen Huang
ICCV 2023. [Paper]
10 Sep 2023
Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning
Guisheng Liu, Yi Li, Zhengcong Fei, Haiyan Fu, Xiangyang Luo, Yanqing Guo
arXiv 2023. [Paper]
10 Sep 2023
Text-driven Editing of 3D Scenes without Retraining
Shuangkang Fang, Yufeng Wang, Yi Yang, Yi-Hsuan Tsai, Wenrui Ding, Shuchang Zhou, Ming-Hsuan Yang
arXiv 2023. [Paper]
10 Sep 2023
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion
Yujin Jeong, Wonjeong Ryoo, Seunghyun Lee, Dabin Seo, Wonmin Byeon, Sangpil Kim, Jinkyu Kim
arXiv 2023. [Paper]
8 Sep 2023
Create Your World: Lifelong Text-to-Image Diffusion
Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong
arXiv 2023. [Paper]
8 Sep 2023
MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask
Yupeng Zhou, Daquan Zhou, Zuo-Liang Zhu, Yaxing Wang, Qibin Hou, Jiashi Feng
arXiv 2023. [Paper]
8 Sep 2023
MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers
Sijia Li, Chen Chen, Haonan Lu
arXiv 2023. [Paper] [Project]
8 Sep 2023
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models
Changming Xiao, Qi Yang, Feng Zhou, Changshui Zhang
arXiv 2023. [Paper]
8 Sep 2023
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
Zigang Geng, Binxin Yang, Tiankai Hang, Chen Li, Shuyang Gu, Ting Zhang, Jianmin Bao, Zheng Zhang, Han Hu, Dong Chen, Baining Guo
arXiv 2023. [Paper] [Project] [Github]
7 Sep 2023
Text-to-feature diffusion for audio-visual few-shot learning
Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata
arXiv 2023. [Paper]
7 Sep 2023
Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model
Sungwon Hwang, Junha Hyung, Jaegul Choo
arXiv 2023. [Paper] [Project]
7 Sep 2023
Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation
Jiaxi Gu, Shicong Wang, Haoyu Zhao, Tianyi Lu, Xing Zhang, Zuxuan Wu, Songcen Xu, Wei Zhang, Yu-Gang Jiang, Hang Xu
arXiv 2023. [Paper]
7 Sep 2023
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
Yuan Liu, Cheng Lin, Zijiao Zeng, Xiaoxiao Long, Lingjie Liu, Taku Komura, Wenping Wang
arXiv 2023. [Paper] [Project] [Github]
7 Sep 2023
MCM: Multi-condition Motion Synthesis Framework for Multi-scenario
Zeyu Ling, Bo Han, Yongkang Wong, Mohan Kangkanhalli, Weidong Geng
arXiv 2023. [Paper]
6 Sep 2023
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
Jinglong Wang, Xiawei Li, Jing Zhang, Qingyuan Xu, Qin Zhou, Qian Yu, Lu Sheng, Dong Xu
arXiv 2023. [Paper]
6 Sep 2023
Generating Realistic Images from In-the-wild Sounds
Taegyeong Lee, Jeonghun Kang, Hyeonyu Kim, Taehwan Kim
ICCV 2023. [Paper]
5 Sep 2023
Generative-based Fusion Mechanism for Multi-Modal Tracking
Zhangyong Tang, Tianyang Xu, Xuefeng Zhu, Xiao-Jun Wu, Josef Kittler
arXiv 2023. [Paper]
4 Sep 2023
VGDiffZero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders
Xuyang Liu, Siteng Huang, Yachen Kang, Honggang Chen, Donglin Wang
arXiv 2023. [Paper]
3 Sep 2023
Bridge Diffusion Model: bridge non-English language-native text-to-image diffusion model with English communities
Shanyuan Liu, Dawei Leng, Yuhui Yin
arXiv 2023. [Paper]
2 Sep 2023
MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation
Hanshu Yan, Jun Hao Liew, Long Mai, Shanchuan Lin, Jiashi Feng
arXiv 2023. [Paper]
2 Sep 2023
Iterative Multi-granular Image Editing using Diffusion Models
K J Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam, Koustava Goswami, Balaji Vasan Srinivasan
arXiv 2023. [Paper]
1 Sep 2023
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion Models
Michael Shenoda, Edward Kim
arXiv 2023. [Paper]
1 Sep 2023
PathLDM: Text conditioned Latent Diffusion Model for Histopathology
Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin Kurc, Joel Saltz, Dimitris Samaras
arXiv 2023. [Paper]
1 Sep 2023
VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation
Xin Li, Wenqing Chu, Ye Wu, Weihang Yuan, Fanglong Liu, Qi Zhang, Fu Li, Haocheng Feng, Errui Ding, Jingdong Wang
arXiv 2023. [Paper]
1 Sep 2023
Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive Method
Eivind Moholdt, Sohail Ahmed Khan, Duc-Tien Dang-Nguyen
CBMI 2023. [Paper]
31 Aug 2023
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images
Qingping Zheng, Yuanfan Guo, Jiankang Deng, Jianhua Han, Ying Li, Songcen Xu, Hang Xu
arXiv 2023. [Paper]
31 Aug 2023
MVDream: Multi-view Diffusion for 3D Generation
Yichun Shi, Peng Wang, Jianglong Ye, Mai Long, Kejie Li, Xiao Yang
arXiv 2023. [Paper]
31 Aug 2023
Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models
Takami Sato, Justin Yue, Nanze Chen, Ningfei Wang, Qi Alfred Chen
arXiv 2023. [Paper]
30 Aug 2023
DiffusionVMR: Diffusion Model for Video Moment Retrieval
Henghao Zhao, Kevin Qinghong Lin, Rui Yan, Zechao Li
ACM MM 2023. [Paper]
29 Aug 2023
C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model
Longbin Ji, Pengfei Wei, Yi Ren, Jinglin Liu, Chen Zhang, Xiang Yin
arXiv 2023. [Paper]
29 Aug 2023
360-Degree Panorama Generation from Few Unregistered NFoV Images
Jionghao Wang, Ziyu Chen, Jun Ling, Rong Xie, Li Song
ACM MM 2023. [Paper] [Github]
28 Aug 2023
Priority-Centric Human Motion Generation in Discrete Latent Space
Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang
arXiv 2023. [Paper]
28 Aug 2023
SketchDreamer: Interactive Text-Augmented Creative Sketch Ideation
Zhiyu Qu, Tao Xiang, Yi-Zhe Song
BMVC 2023. [Paper] [Github]
27 Aug 2023
Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models
Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Tat-Seng Chua
arXiv 2023. [Paper] [Project]
26 Aug 2023
ORES: Open-vocabulary Responsible Visual Synthesis
Minheng Ni, Chenfei Wu, Xiaodong Wang, Shengming Yin, Lijuan Wang, Zicheng Liu, Nan Duan
arXiv 2023. [Paper]
26 Aug 2023
The DiffuseStyleGesture+ entry to the GENEA Challenge 2023
Sicheng Yang, Haiwei Xue, Zhensong Zhang, Minglei Li, Zhiyong Wu, Xiaofei Wu, Songcen Xu, Zonghong Dai
ICMI 2023. [Paper] [Github]
26 Aug 2023
EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior
Minda Zhao, Chaoyi Zhao, Xinyue Liang, Lincheng Li, Zeng Zhao, Zhipeng Hu, Changjie Fan, Xin Yu
arXiv 2023. [Paper]
25 Aug 2023
Unified Concept Editing in Diffusion Models
Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzyńska, David Bau
arXiv 2023. [Paper] [Project] [Github]
25 Aug 2023
Dense Text-to-Image Generation with Attention Modulation
Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu
ICCV 2023. [Paper] [Github]
24 Aug 2023
APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency
Yupu Yao, Shangqi Deng, Zihan Cao, Harry Zhang, Liang-Jian Deng
arXiv 2023. [Paper]
24 Aug 2023
Manipulating Embeddings of Stable Diffusion Prompts
Niklas Deckers, Julia Peters, Martin Potthast
arXiv 2023. [Paper]
23 Aug 2023
DF-3DFace: One-to-Many Speech Synchronized 3D Face Animation with Diffusion
Se Jin Park, Joanna Hong, Minsu Kim, Yong Man Ro
arXiv 2023. [Paper]
23 Aug 2023
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
Yiwen Chen, Chi Zhang, Xiaofeng Yang, Zhongang Cai, Gang Yu, Lei Yang, Guosheng Lin
arXiv 2023. [Paper] [Github]
22 Aug 2023
DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment
Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang
arXiv 2023. [Paper]
22 Aug 2023
MusicJam: Visualizing Music Insights via Generated Narrative Illustrations
Chuer Chen, Nan Cao, Jiani Hou, Yi Guo, Yulei Zhang, Yang Shi
arXiv 2023. [Paper]
22 Aug 2023
TADA! Text to Animatable Digital Avatars
Tingting Liao, Hongwei Yi, Yuliang Xiu, Jiaxaing Tang, Yangyi Huang, Justus Thies, Michael J. Black
arXiv 2023. [Paper]
21 Aug 2023
EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints
Yutao Chen, Xingning Dong, Tian Gan, Chunluan Zhou, Ming Yang, Qingpei Guo
arXiv 2023. [Paper]
21 Aug 2023
Backdooring Textual Inversion for Concept Censorship
Yutong Wu, Jie Zhang, Florian Kerschbaum, Tianwei Zhang
arXiv 2023. [Paper] [Project] [Github]
21 Aug 2023
AltDiffusion: A Multilingual Text-to-Image Diffusion Model
Fulong Ye, Guang Liu, Xinya Wu, Ledell Wu
AAAI 2024. [Paper] [Github]
19 Aug 2023
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability
Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu
ICCV 2023. [Paper]
18 Aug 2023
MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR
Xudong Xu, Zhaoyang Lyu, Xingang Pan, Bo Dai
arXiv 2023. [Paper] [Project]
18 Aug 2023
Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization
Soumik Mukhopadhyay, Saksham Suri, Ravi Teja Gadde, Abhinav Shrivastava
arXiv 2023. [Paper] [Project] [Github]
18 Aug 2023
Guide3D: Create 3D Avatars from Text and Image Guidance
Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong
arXiv 2023. [Paper]
18 Aug 2023
Language-Guided Diffusion Model for Visual Grounding
Sijia Chen, Baochun Li
arXiv 2023. [Paper]
18 Aug 2023
SimDA: Simple Diffusion Adapter for Efficient Video Generation
Zhen Xing, Qi Dai, Han Hu, Zuxuan Wu, Yu-Gang Jiang
arXiv 2023. [Paper] [Project]
18 Aug 2023
StableVideo: Text-driven Consistency-aware Diffusion Video Editing
Wenhao Chai, Xun Guo, Gaoang Wang, Yan Lu
ICCV 2023. [Paper] [Github]
18 Aug 2023
Edit Temporal-Consistent Videos with Image Diffusion Model
Yuanzhi Wang, Yong Li, Xin Liu, Anbo Dai, Antoni Chan, Zhen Cui
arXiv 2023. [Paper]
17 Aug 2023
Watch Your Steps: Local Image and Scene Editing by Text Instructions
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
arXiv 2023. [Paper] [Project]
17 Aug 2023
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis
Minho Park, Jooyeol Yun, Seunghwan Choi, Jaegul Choo
ICCV 2023. [Paper] [Project] [Github]
16 Aug 2023
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
Shengming Yin, Chenfei Wu, Jian Liang, Jie Shi, Houqiang Li, Gong Ming, Nan Duan
arXiv 2023. [Paper] [Project]
16 Aug 2023
Dual-Stream Diffusion Net for Text-to-Video Generation
Binhui Liu, Xin Liu, Anbo Dai, Zhiyong Zeng, Zhen Cui, Jian Yang
arXiv 2023. [Paper]
16 Aug 2023
DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker Embedding
Jeongsoo Choi, Joanna Hong, Yong Man Ro
arXiv 2023. [Paper]
15 Aug 2023
SGDiff: A Style Guided Diffusion Model for Fashion Synthesis
Zhengwentai Sun, Yanghong Zhou, Honghong He, P. Y. Mok
ACM MM 2023. [Paper]
15 Aug 2023
Dancing Avatar: Pose and Text-Guided Human Motion Videos Synthesis with Image Diffusion Model
Bosheng Qin, Wentao Ye, Qifan Yu, Siliang Tang, Yueting Zhuang
arXiv 2023. [Paper]
15 Aug 2023
Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage
Dario Cioni, Lorenzo Berlincioni, Federico Becattini, Alberto del Bimbo
ICCV Workshop 2023. [Paper]
14 Aug 2023
Jurassic World Remake: Bringing Ancient Fossils Back to Life via Zero-Shot Long Image-to-Image Translation
Alexander Martin, Haitian Zheng, Jie An, Jiebo Luo
ACM MM 2023. [Paper]
14 Aug 2023
UniBrain: Unify Image Reconstruction and Captioning All in One Diffusion Model from Human Brain Activity
Weijian Mai, Zhijun Zhang
arXiv 2023. [Paper]
14 Aug 2023
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks
David Junhao Zhang, Mutian Xu, Chuhui Xue, Wenqing Zhang, Xiaoguang Han, Song Bai, Mike Zheng Shou
arXiv 2023. [Paper]
13 Aug 2023
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, Wei Yang
arXiv 2023. [Paper] [Project] [Github]
13 Aug 2023
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts
Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin
arXiv 2023. [Paper]
13 Aug 2023
ModelScope Text-to-Video Technical Report
Jiuniu Wang, Hangjie Yuan, Dayou Chen, Yingya Zhang, Xiang Wang, Shiwei Zhang
arXiv 2023. [Paper]
12 Aug 2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen
arXiv 2023. [Paper] [Project] [Github]
11 Aug 2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning
Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo
ICCV 2023. [Paper] [Github]
11 Aug 2023
Masked-Attention Diffusion Guidance for Spatially Controlling Text-to-Image Generation
Yuki Endo
arXiv 2023. [Paper]
11 Aug 2023
Audio is all in one: speech-driven gesture synthetics using WavLM pre-trained model
Fan Zhang, Naye Ji, Fuxing Gao, Siyuan Zhao, Zhaohan Wang, Shunman Li
arXiv 2023. [Paper]
11 Aug 2023
Zero-shot Text-driven Physically Interpretable Face Editing
Yapeng Meng, Songru Yang, Xu Hu, Rui Zhao, Lincheng Li, Zhenwei Shi, Zhengxia Zou
arXiv 2023. [Paper]
11 Aug 2023
PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions
John Joon Young Chung, Eytan Adar
UIST 2023. [Paper]
9 Aug 2023
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation
Leigang Qu, Shengqiong Wu, Hao Fei, Liqiang Nie, Tat-Seng Chua
arXiv 2023. [Paper] [Project]
9 Aug 2023
Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On
Daiheng Gao, Xu Chen, Xindi Zhang, Qi Wang, Ke Sun, Bang Zhang, Liefeng Bo, Qixing Huang
arXiv 2023. [Paper]
8 Aug 2023
MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion
Yizhuo Lu, Changde Du, Qiongyi zhou, Dianpeng Wang, Huiguang He
arXiv 2023. [Paper]
8 Aug 2023
FLIRT: Feedback Loop In-context Red Teaming
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
arXiv 2023. [Paper]
8 Aug 2023
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis
Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang
arXiv 2023. [Paper] [Project] [Github]
7 Aug 2023
AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose
Huichao Zhang, Bowen Chen, Hao Yang, Liao Qu, Xu Wang, Li Chen, Chao Long, Feida Zhu, Kang Du, Min Zheng
arXiv 2023. [Paper] [Project]
7 Aug 2023
Towards Scene-Text to Scene-Text Translation
Onkar Susladkar, Prajwal Gatti, Anand Mishra
arXiv 2023. [Paper]
6 Aug 2023
Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation
Zijie Wu, Yaonan Wang, Mingtao Feng, He Xie, Ajmal Mian
arXiv 2023. [Paper]
5 Aug 2023
ConceptLab: Creative Generation using Diffusion Prior Constraints
Elad Richardson, Kfir Goldberg, Yuval Alaluf, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
3 Aug 2023
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models
Jianxin Lin, Peng Xiao, Yijun Wang, Rongju Zhang, Xiangxiang Zeng
arXiv 2023. [Paper]
3 Aug 2023
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling
Zhao Yang, Bing Su, Ji-Rong Wen
ACM MM 2023. [Paper] [Github]
3 Aug 2023
Reverse Stable Diffusion: What prompt was used to generate this image?
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah
arXiv 2023. [Paper]
2 Aug 2023
Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion
Zixuan Ni, Longhui Wei, Jiacheng Li, Siliang Tang, Yueting Zhuang, Qi Tian
arXiv 2023. [Paper]
2 Aug 2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike
arXiv 2023. [Paper]
2 Aug 2023
The Bias Amplification Paradox in Text-to-Image Generation
Preethi Seshadri, Sameer Singh, Yanai Elazar
arXiv 2023. [Paper]
1 Aug 2023
BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models
Jordan Vice, Naveed Akhtar, Richard Hartley, Ajmal Mian
arXiv 2023. [Paper] [Github] [Dataset]
31 Jul 2023
MobileVidFactory: Automatic Diffusion-Based Social Media Video Generation for Mobile Devices from Text
Junchen Zhu, Huan Yang, Wenjing Wang, Huiguo He, Zixi Tuo, Yongsheng Yu, Wen-Huang Cheng, Lianli Gao, Jingkuan Song, Jianlong Fu, Jiebo Luo
arXiv 2023. [Paper]
31 Jul 2023
DAVIS: High-Quality Audio-Visual Separation with Generative Diffusion Models
Chao Huang, Susan Liang, Yapeng Tian, Anurag Kumar, Chenliang Xu
arXiv 2023. [Paper]
31 Jul 2023
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation
Yuxin Mao, Jing Zhang, Mochu Xiang, Yunqiu Lv, Yiran Zhong, Yuchao Dai
arXiv 2023. [Paper]
31 Jul 2023
HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation
Jinbo Wu, Xiaobo Gao, Xing Liu, Zhengyang Shen, Chen Zhao, Haocheng Feng, Jingtuo Liu, Errui Ding
arXiv 2023. [Paper]
30 Jul 2023
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals
Yu-Ting Lan, Kan Ren, Yansen Wang, Wei-Long Zheng, Dongsheng Li, Bao-Liang Lu, Lili Qiu
arXiv 2023. [Paper]
27 Jul 2023
VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet
Zhihao Hu, Dong Xu
arXiv 2023. [Paper] [Project]
26 Jul 2023
Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation
Chaohui Yu, Qiang Zhou, Jingliang Li, Zhe Zhang, Zhibin Wang, Fan Wang
arXiv 2023. [Paper]
26 Jul 2023
Visual Instruction Inversion: Image Editing via Visual Prompting
Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee
arXiv 2023. [Paper] [Project] [Github]
26 Jul 2023
Composite Diffusion | whole >= \Sigma parts
Vikram Jamwal, Ramaneswaran S
arXiv 2023. [Paper]
25 Jul 2023
Fashion Matrix: Editing Photos by Just Talking
Zheng Chong, Xujie Zhang, Fuwei Zhao, Zhenyu Xie, Xiaodan Liang
arXiv 2023. [Paper] [Project] [Github]
25 Jul 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh
arXiv 2023. [Paper]
24 Jul 2023
InFusion: Inject and Attention Fusion for Multi Concept Zero-Shot Text-based Video Editing
Anant Khandelwal
ICCV Workshop 2023. [Paper]
22 Jul 2023
Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning
Jian Ma, Junhao Liang, Chen Chen, Haonan Lu
arXiv 2023. [Paper] [Project] [Github]
21 Jul 2023
Divide & Bind Your Attention for Improved Generative Semantic Nursing
Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
arXiv 2023. [Paper] [Project]
20 Jul 2023
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan
arXiv 2023. [Paper]
20 Jul 2023
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou
arXiv 2023. [Paper] [Github]
20 Jul 2023
Text2Layer: Layered Image Generation using Latent Diffusion Model
Xinyang Zhang, Wentian Zhao, Xin Lu, Jeff Chien
arXiv 2023. [Paper]
19 Jul 2023
FABRIC: Personalizing Diffusion Models with Iterative Feedback
Dimitri von Rütte, Elisabetta Fedele, Jonathan Thomm, Lukas Wolf
arXiv 2023. [Paper]
19 Jul 2023
TokenFlow: Consistent Diffusion Features for Consistent Video Editing
Michal Geyer, Omer Bar-Tal, Shai Bagon, Tali Dekel
arXiv 2023. [Paper] [Project] [Github]
19 Jul 2023
Multimodal Diffusion Segmentation Model for Object Segmentation from Manipulation Instructions
Yui Iioka, Yu Yoshida, Yuiga Wada, Shumpei Hatanaka, Komei Sugiura
arXiv 2023. [Paper]
17 Jul 2023
Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation
Luozhou Wang, Shuai Yang, Shu Liu, Ying-cong Chen
ICCV 2023. [Paper] [Github]
17 Jul 2023
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
Alessandro Flaborea, Luca Collorone, Guido D'Amely, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso
arXiv 2023. [Paper]
14 Jul 2023
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman
arXiv 2023. [Paper] [Project] [Github]
13 Jul 2023
Exact Diffusion Inversion via Bi-directional Integration Approximation
Guoqiang Zhang, J. P. Lewis, W. Bastiaan Kleijn
arXiv 2023. [Paper]
10 Jul 2023
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Yaohui Wang, Yu Qiao, Dahua Lin, Bo Dai
arXiv 2023. [Paper] [Project] [Github]
10 Jul 2023
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback
Jaskirat Singh, Liang Zheng
arXiv 2023. [Paper] [Project] [Github]
10 Jul 2023
Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image Diffusion
Jie S. Li, Yow-Ting Shiue, Yong-Siang Shih, Jonas Geiping
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9 Jul 2023
Measuring the Success of Diffusion Models at Imitating Human Artists
Stephen Casper, Zifan Guo, Shreya Mogulothu, Zachary Marinov, Chinmay Deshpande, Rui-Jie Yew, Zheng Dai, Dylan Hadfield-Menell
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8 Jul 2023
How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models
Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris Metaxas, Shiqing Ma
arXiv 2023. [Paper]
6 Jul 2023
Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
arXiv 2023. [Paper] [Project] [Github]
4 Jul 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach
arXiv 2023. [Paper] [Github]
4 Jul 2023
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion
Shitao Tang, Fuyang Zhang, Jiacheng Chen, Peng Wang, Yasutaka Furukawa
arXiv 2023. [Paper] [Project]
3 Jul 2023
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Wonjun Kang, Kevin Galim, Hyung Il Koo
arXiv 2023. [Paper]
30 Jun 2023
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
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29 Jun 2023
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Yuheng Li, Haotian Liu, Yangming Wen, Yong Jae Lee
arXiv 2023. [Paper] [Project]
29 Jun 2023
Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
Simian Luo, Chuanhao Yan, Chenxu Hu, Hang Zhao
arXiv 2023. [Paper] [Github]
29 Jun 2023
PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing
Wenjing Huang, Shikui Tu, Lei Xu
arXiv 2023. [Paper]
28 Jun 2023
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
Ximing Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, Dong Xu
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26 Jun 2023
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis
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26 Jun 2023
Decompose and Realign: Tackling Condition Misalignment in Text-to-Image Diffusion Models
Luozhou Wang, Guibao Shen, Yijun Li, Ying-cong Chen
arXiv 2023. [Paper]
26 Jun 2023
Zero-shot spatial layout conditioning for text-to-image diffusion models
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23 Jun 2023
DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation
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21 Jun 2023
Align, Adapt and Inject: Sound-guided Unified Image Generation
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arXiv 2023. [Paper]
20 Jun 2023
EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model
Lianying Yin, Yijun Wang, Tianyu He, Jinming Liu, Wei Zhao, Bohan Li, Xin Jin, Jianxin Lin
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20 Jun 2023
RS5M: A Large Scale Vision-Language Dataset for Remote Sensing Vision-Language Foundation Model
Zilun Zhang, Tiancheng Zhao, Yulong Guo, Jianwei Yin
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20 Jun 2023
Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions
Yuqi Sun, Reian He, Weimin Tan, Bo Yan
arXiv 2023. [Paper]
19 Jun 2023
Conditional Text Image Generation with Diffusion Models
Yuanzhi Zhu, Zhaohai Li, Tianwei Wang, Mengchao He, Cong Yao
arXiv 2023. [Paper]
19 Jun 2023
Point-Cloud Completion with Pretrained Text-to-image Diffusion Models
Yoni Kasten, Ohad Rahamim, Gal Chechik
arXiv 2023. [Paper]
18 Jun 2023
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
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16 Jun 2023
Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks
Hongcheng Gao, Hao Zhang, Yinpeng Dong, Zhijie Deng
arXiv 2023. [Paper]
16 Jun 2023
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models
Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian McAuley
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16 Jun 2023
Taming Diffusion Models for Music-driven Conducting Motion Generation
Zhuoran Zhao, Jinbin Bai, Delong Chen, Debang Wang, Yubo Pan
arXiv 2023. [Paper]
15 Jun 2023
Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis
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15 Jun 2023
Diffusion Models for Zero-Shot Open-Vocabulary Segmentation
Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht
arXiv 2023. [Paper]
15 Jun 2023
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik
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15 Jun 2023
Training Multimedia Event Extraction With Generated Images and Captions
Zilin Du, Yunxin Li, Xu Guo, Yidan Sun, Boyang Li
arXiv 2023. [Paper]
15 Jun 2023
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing
Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome
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14 Jun 2023
Norm-guided latent space exploration for text-to-image generation
Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik
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14 Jun 2023
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis
Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue
arXiv 2023. [Paper]
14 Jun 2023
GBSD: Generative Bokeh with Stage Diffusion
Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar
arXiv 2023. [Paper]
14 Jun 2023
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
Yongqi Yang, Ruoyu Wang, Zhihao Qian, Ye Zhu, Yu Wu
arXiv 2023. [Paper]
14 Jun 2023
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
Shuai Yang, Yifan Zhou, Ziwei Liu, Chen Change Loy
arXiv 2023. [Paper]
13 Jun 2023
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
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13 Jun 2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
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12 Jun 2023
MovieFactory: Automatic Movie Creation from Text using Large Generative Models for Language and Images
Junchen Zhu, Huan Yang, Huiguo He, Wenjing Wang, Zixi Tuo, Wen-Huang Cheng, Lianli Gao, Jingkuan Song, Jianlong Fu
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12 Jun 2023
InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions
Jiale Xu, Xintao Wang, Yan-Pei Cao, Weihao Cheng, Ying Shan, Shenghua Gao
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12 Jun 2023
Language-Guided Traffic Simulation via Scene-Level Diffusion
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10 Jun 2023
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh Susskind
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8 Jun 2023
Grounded Text-to-Image Synthesis with Attention Refocusing
Quynh Phung, Songwei Ge, Jia-Bin Huang
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8 Jun 2023
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions
Yuseung Lee, Kunho Kim, Hyunjin Kim, Minhyuk Sung
arXiv 2023. [Paper] [Project] [Github]
8 Jun 2023
Improving Tuning-Free Real Image Editing with Proximal Guidance
Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Yuxiao Chen, Di Liu, Qilong Zhangli, Anastasis Stathopoulos, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris Metaxas
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8 Jun 2023
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang
arXiv 2023. [Paper]
7 Jun 2023
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
arXiv 2023. [Paper]
7 Jun 2023
Designing a Better Asymmetric VQGAN for StableDiffusion
Zixin Zhu, Xuelu Feng, Dongdong Chen, Jianmin Bao, Le Wang, Yinpeng Chen, Lu Yuan, Gang Hua
arXiv 2023. [Paper] [Github]
7 Jun 2023
Multi-modal Latent Diffusion
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
arXiv 2023. [Paper]
7 Jun 2023
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt
Kai Chen, Enze Xie, Zhe Chen, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung
arXiv 2023. [Paper]
7 Jun 2023
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
7 Jun 2023
Stable Diffusion is Unstable
Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu
arXiv 2023. [Paper]
5 Jun 2023
LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading
Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, Ethan Fetaya
arXiv 2023. [Paper] [Project]
5 Jun 2023
HeadSculpt: Crafting 3D Head Avatars with Text
Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, Kwan-Yee K. Wong
arXiv 2023. [Paper] [Project]
5 Jun 2023
Instruct-Video2Avatar: Video-to-Avatar Generation with Instructions
Shaoxu Li
arXiv 2023. [Paper]
5 Jun 2023
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark
Shuyu Yang, Yinan Zhou, Yaxiong Wang, Yujiao Wu, Li Zhu, Zhedong Zheng
arXiv 2023. [Paper]
5 Jun 2023
User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques
Sunwoo Kim, Wooseok Jang, Hyunsu Kim, Junho Kim, Yunjey Choi, Seungryong Kim, Gayeong Lee
arXiv 2023. [Paper]
5 Jun 2023
Detector Guidance for Multi-Object Text-to-Image Generation
Luping Liu, Zijian Zhang, Yi Ren, Rongjie Huang, Xiang Yin, Zhou Zhao
arXiv 2023. [Paper]
4 Jun 2023
VideoComposer: Compositional Video Synthesis with Motion Controllability
Xiang Wang, Hangjie Yuan, Shiwei Zhang, Dayou Chen, Jiuniu Wang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou
NeruIPS 2023. [Paper] [Project] [Github]
3 Jun 2023
Word-Level Explanations for Analyzing Bias in Text-to-Image Models
Alexander Lin, Lucas Monteiro Paes, Sree Harsha Tanneru, Suraj Srinivas, Himabindu Lakkaraju
arXiv 2023. [Paper]
3 Jun 2023
Efficient Text-Guided 3D-Aware Portrait Generation with Score Distillation Sampling on Distribution
Yiji Cheng, Fei Yin, Xiaoke Huang, Xintong Yu, Jiaxiang Liu, Shikun Feng, Yujiu Yang, Yansong Tang
arXiv 2023. [Paper]
3 Jun 2023
Probabilistic Adaptation of Text-to-Video Models
Mengjiao Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel
arXiv 2023. [Paper] [Project]
2 Jun 2023
Video Colorization with Pre-trained Text-to-Image Diffusion Models
Hanyuan Liu, Minshan Xie, Jinbo Xing, Chengze Li, Tien-Tsin Wong
arXiv 2023. [Paper]
2 Jun 2023
Audio-Visual Speech Enhancement with Score-Based Generative Models
Julius Richter, Simone Frintrop, Timo Gerkmann
arXiv 2023. [Paper]
2 Jun 2023
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models
Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Cardoso
arXiv 2023. [Paper]
2 Jun 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
arXiv 2023. [Paper]
1 Jun 2023
Diffusion Self-Guidance for Controllable Image Generation
Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski
arXiv 2023. [Paper] [Project]
1 Jun 2023
StyleDrop: Text-to-Image Generation in Any Style
Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan
arXiv 2023. [Paper] [Project]
1 Jun 2023
Intriguing Properties of Text-guided Diffusion Models
Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan Yuille
arXiv 2023. [Paper]
1 Jun 2023
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
Chang Liu, Haoning Wu, Yujie Zhong, Xiaoyun Zhang, Weidi Xie
arXiv 2023. [Paper] [Project]
1 Jun 2023
ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation
Shaozhe Hao, Kai Han, Shihao Zhao, Kwan-Yee K. Wong
arXiv 2023. [Paper] [Github]
1 Jun 2023
The Hidden Language of Diffusion Models
Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf
arXiv 2023. [Paper] [Project]
1 Jun 2023
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation
Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham
arXiv 2023. [Paper] [Project] [Github]
1 Jun 2023
Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance
Jinbo Xing, Menghan Xia, Yuxin Liu, Yuechen Zhang, Yong Zhang, Yingqing He, Hanyuan Liu, Haoxin Chen, Xiaodong Cun, Xintao Wang, Ying Shan, Tien-Tsin Wong
arXiv 2023. [Paper] [Project]
1 Jun 2023
Inserting Anybody in Diffusion Models via Celeb Basis
Ge Yuan, Xiaodong Cun, Yong Zhang, Maomao Li, Chenyang Qi, Xintao Wang, Ying Shan, Huicheng Zheng
arXiv 2023. [Paper] [Project]
1 Jun 2023
Wuerstchen: Efficient Pretraining of Text-to-Image Models
Pablo Pernias, Dominic Rampas, Marc Aubreville
arXiv 2023. [Paper]
1 Jun 2023
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning
Xiao Dong, Runhui Huang, Xiaoyong Wei, Zequn Jie, Jianxing Yu, Jian Yin, Xiaodan Liang
arXiv 2023. [Paper]
1 Jun 2023
FigGen: Text to Scientific Figure Generation
Juan A. Rodriguez, David Vazquez, Issam Laradji, Marco Pedersoli, Pau Rodriguez
ICLR 2023. [Paper]
1 Jun 2023
Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images
Peyman Gholami, Robert Xiao
arXiv 2023. [Paper]
31 May 2023
Understanding and Mitigating Copying in Diffusion Models
Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein
CVPR 2023. [Paper] [Github]
31 May 2023
Control4D: Dynamic Portrait Editing by Learning 4D GAN from 2D Diffusion-based Editor
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arXiv 2023. [Paper] [Project]
31 May 2023
Boosting Text-to-Image Diffusion Models with Fine-Grained Semantic Rewards
Guian Fang, Zutao Jiang, Jianhua Han, Guansong Lu, Hang Xu, Xiaodan Liang
arXiv 2023. [Paper] [Github]
31 May 2023
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification
Yifei Liu, Rex Shen, Xiaotong Shen
arXiv 2023. [Paper]
30 May 2023
PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
Jialu Li, Mohit Bansal
arXiv 2023. [Paper] [Project] [Github]
30 May 2023
Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video Translation Using Conditional Image Diffusion Models
Ernie Chu, Shuo-Yen Lin, Jun-Cheng Chen
arXiv 2023. [Paper]
30 May 2023
Nested Diffusion Processes for Anytime Image Generation
Noam Elata, Bahjat Kawar, Tomer Michaeli, Michael Elad
arXiv 2023. [Paper]
30 May 2023
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
Chi Zhang, Yiwen Chen, Yijun Fu, Zhenglin Zhou, Gang YU, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, Chunhua Shen
arXiv 2023. [Paper]
30 May 2023
HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance
Junzhe Zhu, Peiye Zhuang
arXiv 2023. [Paper]
30 May 2023
LayerDiffusion: Layered Controlled Image Editing with Diffusion Models
Pengzhi Li, QInxuan Huang, Yikang Ding, Zhiheng Li
arXiv 2023. [Paper]
30 May 2023
Controllable Text-to-Image Generation with GPT-4
Tianjun Zhang, Yi Zhang, Vibhav Vineet, Neel Joshi, Xin Wang
arXiv 2023. [Paper]
29 May 2023
Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models
Zizhao Hu, Mohammad Rostami
NeurIPS 2023. [Paper]
28 May 2023
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo
arXiv 2023. [Paper]
29 May 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou
arXiv 2023. [Paper] [Project]
29 May 2023
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising
Fu-Yun Wang, Wenshuo Chen, Guanglu Song, Han-Jia Ye, Yu Liu, Hongsheng Li
arXiv 2023. [Paper] [Github]
29 May 2023
Text-Only Image Captioning with Multi-Context Data Generation
Feipeng Ma, Yizhou Zhou, Fengyun Rao, Yueyi Zhang, Xiaoyan Sun
arXiv 2023. [Paper]
29 May 2023
InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
Qian Wang, Biao Zhang, Michael Birsak, Peter Wonka
arXiv 2023. [Paper]
29 May 2023
Conditional Score Guidance for Text-Driven Image-to-Image Translation
Hyunsoo Lee, Minsoo Kang, Bohyung Han
arXiv 2023. [Paper]
29 May 2023
Text-to-image Editing by Image Information Removal
Zhongping Zhang, Jian Zheng, Jacob Zhiyuan Fang, Bryan A. Plummer
arXiv 2023. [Paper]
27 May 2023
Towards Consistent Video Editing with Text-to-Image Diffusion Models
Zicheng Zhang, Bonan Li, Xuecheng Nie, Congying Han, Tiande Guo, Luoqi Liu
arXiv 2023. [Paper]
27 May 2023
FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference
Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui
arXiv 2023. [Paper]
27 May 2023
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing
Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu
arXiv 2023. [Paper] [Project]
26 May 2023
Improved Visual Story Generation with Adaptive Context Modeling
Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin
arXiv 2023. [Paper]
26 May 2023
Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models
Daiki Miyake, Akihiro Iohara, Yu Saito, Toshiyuki Tanaka
arXiv 2023. [Paper]
26 May 2023
Are Diffusion Models Vision-And-Language Reasoners?
Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy
arXiv 2023. [Paper] [Github]
25 May 2023
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
arXiv 2023. [Paper]
25 May 2023
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong
arXiv 2023. [Paper] [Project] [Github]
25 May 2023
Parallel Sampling of Diffusion Models
Andy Shih, Suneel Belkhale, Stefano Ermon, Dorsa Sadigh, Nima Anari
arXiv 2023. [Paper] [Github]
25 May 2023
Break-A-Scene: Extracting Multiple Concepts from a Single Image
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski
SIGGRAPH Asia 2023. [Paper] [Project] [Github]
25 May 2023
Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell
arXiv 2023. [Paper] [Github]
25 May 2023
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi
arXiv 2023. [Paper] [Github]
25 May 2023
ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation
Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, Changsheng Xu
arXiv 2023. [Paper]
25 May 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
arXiv 2023. [Paper] [Project]
25 May 2023
On Architectural Compression of Text-to-Image Diffusion Models
Bo-Kyeong Kim, Hyoung-Kyu Song, Thibault Castells, Shinkook Choi
arXiv 2023. [Paper]
25 May 2023
Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models
Jooyoung Choi, Yunjey Choi, Yunji Kim, Junho Kim, Sungroh Yoon
arXiv 2023. [Paper]
25 May 2023
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andres Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
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24 May 2023
ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation
Dongxu Yue, Qin Guo, Munan Ning, Jiaxi Cui, Yuesheng Zhu, Li Yuan
arXiv 2023. [Paper]
24 May 2023
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models
Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn
arXiv 2023. [Paper] [Github]
24 May 2023
I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors
Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan
arXiv 2023. [Paper]
24 May 2023
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
Dongxu Li, Junnan Li, Steven C. H. Hoi
arXiv 2023. [Paper]
24 May 2023
Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models
Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Max Bartolo, Oana Inel, Juan Ciro, Rafael Mosquera, Addison Howard, Will Cukierski, D. Sculley, Vijay Janapa Reddi, Lora Aroyo
arXiv 2023. [Paper]
22 May 2023
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models
Ruichen Wang, Zekang Chen, Chen Chen, Jian Ma, Haonan Lu, Xiaodong Lin
arXiv 2023. [Paper]
23 May 2023
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, Yang Zhang
arXiv 2023. [Paper]
23 May 2023
Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models
Weifeng Chen, Jie Wu, Pan Xie, Hefeng Wu, Jiashi Li, Xin Xia, Xuefeng Xiao, Liang Lin
arXiv 2023. [Paper]
23 May 2023
Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models
Dong Wei, Xiaoning Sun, Huaijiang Sun, Bin Li, Shengxiang Hu, Weiqing Li, Jianfeng Lu
arXiv 2023. [Paper]
23 May 2023
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
Long Lian, Boyi Li, Adam Yala, Trevor Darrell
arXiv 2023. [Paper]
23 May 2023
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
Davide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara
arXiv 2023. [Paper]
22 May 2023
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering
Megha Chakraborty, Khusbu Pahwa, Anku Rani, Adarsh Mahor, Aditya Pakala, Arghya Sarkar, Harshit Dave, Ishan Paul, Janvita Reddy, Preethi Gurumurthy, Ritvik G, Samahriti Mukherjee, Shreyas Chatterjee, Kinjal Sensharma, Dwip Dalal, Suryavardan S, Shreyash Mishra, Parth Patwa, Aman Chadha, Amit Sheth, Amitava Das
arXiv 2023. [Paper]
22 May 2023
Training Diffusion Models with Reinforcement Learning
Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
arXiv 2023. [Paper]
22 May 2023
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection
Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata
arXiv 2023. [Paper] [Project]
22 May 2023
ControlVideo: Training-free Controllable Text-to-Video Generation
Yabo Zhang, Yuxiang Wei, Dongsheng Jiang, Xiaopeng Zhang, Wangmeng Zuo, Qi Tian
arXiv 2023. [Paper] [Github]
22 May 2023
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation
Guy Yariv, Itai Gat, Lior Wolf, Yossi Adi, Idan Schwartz
arXiv 2023. [Paper]
22 May 2023
The CLIP Model is Secretly an Image-to-Prompt Converter
Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu
arXiv 2023. [Paper]
22 May 2023
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions
Bosheng Qin, Juncheng Li, Siliang Tang, Tat-Seng Chua, Yueting Zhuang
arXiv 2023. [Paper]
21 May 2023
SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, Yinzhi Cao
arXiv 2023. [Paper]
20 May 2023
Late-Constraint Diffusion Guidance for Controllable Image Synthesis
Chang Liu, Dong Liu
arXiv 2023. [Paper] [Project] [Github]
19 May 2023
Any-to-Any Generation via Composable Diffusion
Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
arXiv 2023. [Paper] [Project] [Github]
19 May 2023
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao
arXiv 2023. [Paper]
19 May 2023
Brain Captioning: Decoding human brain activity into images and text
Matteo Ferrante, Furkan Ozcelik, Tommaso Boccato, Rufin VanRullen, Nicola Toschi
arXiv 2023. [Paper]
19 May 2023
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots
Jinyi Hu, Xu Han, Xiaoyuan Yi, Yutong Chen, Wenhao Li, Zhiyuan Liu, Maosong Sun
arXiv 2023. [Paper]
19 May 2023
Discriminative Diffusion Models as Few-shot Vision and Language Learners
Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang
arXiv 2023. [Paper]
18 May 2023
Zero-Day Backdoor Attack against Text-to-Image Diffusion Models via Personalization
Yihao Huang, Qing Guo, Felix Juefei-Xu
arXiv 2023. [Paper]
18 May 2023
AIwriting: Relations Between Image Generation and Digital Writing
Scott Rettberg, Talan Memmott, Jill Walker Rettberg, Jason Nelson, Patrick Lichty
ISEA 2023. [Paper]
18 May 2023
TextDiffuser: Diffusion Models as Text Painters
Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei
arXiv 2023. [Paper]
18 May 2023
VideoFactory: Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation
Wenjing Wang, Huan Yang, Zixi Tuo, Huiguo He, Junchen Zhu, Jianlong Fu, Jiaying Liu
arXiv 2023. [Paper]
18 May 2023
LDM3D: Latent Diffusion Model for 3D
Gabriela Ben Melech Stan, Diana Wofk, Scottie Fox, Alex Redden, Will Saxton, Jean Yu, Estelle Aflalo, Shao-Yen Tseng, Fabio Nonato, Matthias Muller, Vasudev Lal
arXiv 2023. [Paper]
18 May 2023
X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models
Yixiong Chen
arXiv 2023. [Paper] [Github]
18 May 2023
Inspecting the Geographical Representativeness of Images from Text-to-Image Models
Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi
arXiv 2023. [Paper]
18 May 2023
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
arXiv 2023. [Paper] [Project]
17 May 2023
AMD: Autoregressive Motion Diffusion
Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li
arXiv 2023. [Paper]
16 May 2023
Generating coherent comic with rich story using ChatGPT and Stable Diffusion
Ze Jin, Zorina Song
arXiv 2023. [Paper]
16 May 2023
Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation
Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, Sonal Gupta
arXiv 2023. [Paper] [Project]
16 May 2023
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts
Yuyang Zhao, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee
arXiv 2023. [Paper] [Project] [Github]
15 May 2023
Common Diffusion Noise Schedules and Sample Steps are Flawed
Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang
arXiv 2023. [Paper]
15 May 2023
Interactive Fashion Content Generation Using LLMs and Latent Diffusion Models
Krishna Sri Ipsit Mantri, Nevasini Sasikumar
arXiv 2023. [Paper]
15 May 2023
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wanrong Huang, Wenjing Yang
arXiv 2023. [Paper] [Project] [Github]
11 May 2023
iEdit: Localised Text-guided Image Editing with Weak Supervision
Rumeysa Bodur, Erhan Gundogdu, Binod Bhattarai, Tae-Kyun Kim, Michael Donoser, Loris Bazzani
arXiv 2023. [Paper]
10 May 2023
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models
Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin
arXiv 2023. [Paper] [Github]
9 May 2023
Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer
Nisha Huang, Yuxin Zhang, Weiming Dong
arXiv 2023. [Paper]
9 May 2023
DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models
Sicheng Yang, Zhiyong Wu, Minglei Li, Zhensong Zhang, Lei Hao, Weihong Bao, Ming Cheng, Long Xiao
IJCAI 2023. [Paper] [Github]
8 May 2023
IIITD-20K: Dense captioning for Text-Image ReID
A V Subramanyam, Niranjan Sundararajan, Vibhu Dubey, Brejesh Lall
arXiv 2023. [Paper]
8 May 2023
ReGeneration Learning of Diffusion Models with Rich Prompts for Zero-Shot Image Translation
Yupei Lin, Sen Zhang, Xiaojun Yang, Xiao Wang, Yukai Shi
arXiv 2023. [Paper] [Project]
8 May 2023
Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models
Wenkai Dong, Song Xue, Xiaoyue Duan, Shumin Han
arXiv 2023. [Paper]
8 May 2023
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning
Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su
arXiv 2023. [Paper]
7 May 2023
AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion
Seungwoo Lee, Chaerin Kong, Donghyeon Jeon, Nojun Kwak
arXiv 2023. [Paper]
6 May 2023
Data Curation for Image Captioning with Text-to-Image Generative Models
Wenyan Li, Jonas F. Lotz, Chen Qiu, Desmond Elliott
arXiv 2023. [Paper]
5 May 2023
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
Hong Chen, Yipeng Zhang, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu
arXiv 2023. [Paper] [Project]
5 May 2023
Guided Image Synthesis via Initial Image Editing in Diffusion Model
Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa
arXiv 2023. [Paper]
5 May 2023
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, ShengYun Peng, Austin Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau
arXiv 2023. [Paper] [Project]
4 May 2023
Multimodal-driven Talking Face Generation, Face Swapping, Diffusion Model
Chao Xu, Shaoting Zhu, Junwei Zhu, Tianxin Huang, Jiangning Zhang, Ying Tai, Yong Liu
arXiv 2023. [Paper]
4 May 2023
Multimodal Data Augmentation for Image Captioning using Diffusion Models
Changrong Xiao, Sean Xin Xu, Kunpeng Zhang
arXiv 2023. [Paper]
3 May 2023
In-Context Learning Unlocked for Diffusion Models
Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
arXiv 2023. [Paper] [Project] [Github]
1 May 2023
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis
Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab
arXiv 2023. [Paper]
28 Apr 2023
It is all about where you start: Text-to-image generation with seed selection
Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik
arXiv 2023. [Paper]
27 Apr 2023
Edit Everything: A Text-Guided Generative System for Images Editing
Defeng Xie, Ruichen Wang, Jian Ma, Chen Chen, Haonan Lu, Dong Yang, Fobo Shi, Xiaodong Lin
arXiv 2023. [Paper] [Github]
27 Apr 2023
Training-Free Location-Aware Text-to-Image Synthesis
Jiafeng Mao, Xueting Wang
arXiv 2023. [Paper]
26 Apr 2023
TextMesh: Generation of Realistic 3D Meshes From Text Prompts
Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, Federico Tombari
arXiv 2023. [Paper]
24 Apr 2023
Using Text-to-Image Generation for Architectural Design Ideation
Ville Paananen, Jonas Oppenlaender, Aku Visuri
arXiv 2023. [Paper]
20 Apr 2023
Anything-3D: Towards Single-view Anything Reconstruction in the Wild
Qiuhong Shen, Xingyi Yang, Xinchao Wang
arXiv 2023. [Paper] [Github]
19 Apr 2023
UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer
Soon Yau Cheong, Armin Mustafa, Andrew Gilbert
ICCV Workshop 2023. [Paper] [Github]
18 Apr 2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Yuwei Yin, Jean Kaddour, Xiang Zhang, Yixin Nie, Zhenguang Liu, Lingpeng Kong, Qi Liu
arXiv 2023. [Paper]
18 Apr 2023
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis
CVPR 2023. [Paper] [Project]
18 Apr 2023
Text2Performer: Text-Driven Human Video Generation
Yuming Jiang, Shuai Yang, Tong Liang Koh, Wayne Wu, Chen Change Loy, Ziwei Liu
arXiv 2023. [Paper] [Project]
17 Apr 2023
Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation
Jie An, Songyang Zhang, Harry Yang, Sonal Gupta, Jia-Bin Huang, Jiebo Luo, Xi Yin
arXiv 2023. [Paper] [Project]
17 Apr 2023
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
Mingdeng Cao, Xintao Wang, Zhongang Qi, Ying Shan, Xiaohu Qie, Yinqiang Zheng
arXiv 2023. [Paper] [Github]
17 Apr 2023
Text-Conditional Contextualized Avatars For Zero-Shot Personalization
Samaneh Azadi, Thomas Hayes, Akbar Shah, Guan Pang, Devi Parikh, Sonal Gupta
arXiv 2023. [Paper]
14 Apr 2023
Delta Denoising Score
Amir Hertz, Kfir Aberman, Daniel Cohen-Or
arXiv 2023. [Paper] [Project]
14 Apr 2023
Expressive Text-to-Image Generation with Rich Text
Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
arXiv 2023. [Paper] [Project] [Github]
13 Apr 2023
Soundini: Sound-Guided Diffusion for Natural Video Editing
Seung Hyun Lee, Sieun Kim, Innfarn Yoo, Feng Yang, Donghyeon Cho, Youngseo Kim, Huiwen Chang, Jinkyu Kim, Sangpil Kim
arXiv 2023. [Paper] [Project]
13 Apr 2023
Improving Diffusion Models for Scene Text Editing with Dual Encoders
Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian Price, Shiyu Chang
arXiv 2023. [Paper] [Github]
12 Apr 2023
An Edit Friendly DDPM Noise Space: Inversion and Manipulations
Inbar Huberman-Spiegelglas, Vladimir Kulikov, Tomer Michaeli
arXiv 2023. [Paper]
12 Apr 2023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin
arXiv 2023. [Paper] [Project]
12 Apr 2023
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models
Eslam Mohamed Bakr, Pengzhan Sun, Xiaoqian Shen, Faizan Farooq Khan, Li Erran Li, Mohamed Elhoseiny
arXiv 2023. [Paper] [Project]
11 Apr 2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, Mingyuan Zhou
arXiv 2023. [Paper]
11 Apr 2023
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models
Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko
arXiv 2023. [Paper]
10 Apr 2023
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation
Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu
arXiv 2023. [Paper] [Github]
9 Apr 2023
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis
Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang
arXiv 2023. [Paper] [Github]
7 Apr 2023
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning
Jiayi Guo, Chaofei Wang, You Wu, Eric Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang
CVPR 2023. [Paper] [Github]
6 Apr 2023
Training-Free Layout Control with Cross-Attention Guidance
Minghao Chen, Iro Laina, Andrea Vedaldi
arXiv 2023. [Paper] [Project] [Github]
6 Apr 2023
Benchmarking Robustness to Text-Guided Corruptions
Mohammadreza Mofayezi, Yasamin Medghalchi
arXiv 2023. [Paper]
6 Apr 2023
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model
Hoigi Seo, Hayeon Kim, Gwanghyun Kim, Se Young Chun
arXiv 2023. [Paper] [Project]
6 Apr 2023
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
Xuhui Jia, Yang Zhao, Kelvin C.K. Chan, Yandong Li, Han Zhang, Boqing Gong, Tingbo Hou, Huisheng Wang, Yu-Chuan Su
arXiv 2023. [Paper]
5 Apr 2023
A Diffusion-based Method for Multi-turn Compositional Image Generation
Chao Wang, Xiaoyu Yang, Jinmiao Huang, Kevin Ferreira
arXiv 2023. [Paper]
5 Apr 2023
viz2viz: Prompt-driven stylized visualization generation using a diffusion model
Jiaqi Wu, John Joon Young Chung, Eytan Adar
arXiv 2023. [Paper]
4 Apr 2023
Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing
Alberto Baldrati, Davide Morelli, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara
arXiv 2023. [Paper]
4 Apr 2023
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
Gwanghyun Kim, Ji Ha Jang, Se Young Chun
arXiv 2023. [Paper] [Project]
4 Apr 2023
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang
arXiv 2023. [Paper]
4 Apr 2023
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
3 Apr 2023
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models
Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong
arXiv 2023. [Paper]
3 Apr 2023
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
Longwen Zhang, Qiwei Qiu, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu
arXiv 2023. [Paper] [Project]
1 Apr 2023
GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently
Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin
arXiv 2023. [Paper] [Project]
31 Mar 2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
arXiv 2023. [Paper] [Project] [Github]
30 Mar 2023
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models
Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi
arXiv 2023. [Paper] [Github]
30 Mar 2023
Social Biases through the Text-to-Image Generation Lens
Ranjita Naik, Besmira Nushi
arXiv 2023. [Paper]
30 Mar 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Eric Zhang, Kai Wang, Xingqian Xu, Zhangyang Wang, Humphrey Shi
arXiv 2023. [Paper] [Github]
30 Mar 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
CVPR 2023. [Paper] [Project]
30 Mar 2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Wen Wang, Kangyang Xie, Zide Liu, Hao Chen, Yue Cao, Xinlong Wang, Chunhua Shen
arXiv 2023. [Paper]
30 Mar 2023
Discriminative Class Tokens for Text-to-Image Diffusion Models
Idan Schwartz, Vésteinn Snæbjarnarson, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge Belongie
arXiv 2023. [Paper]
30 Mar 2023
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder
Chenpng Du, Qi Chen, Tianyu He, Xu Tan, Xie Chen, Kai Yu, Sheng Zhao, Jiang Bian
arXiv 2023. [Paper]
30 Mar 2023
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation
Guangcong Zheng, Xianpan Zhou, Xuewei Li, Zhongang Qi, Ying Shan, Xi Li
CVPR 2023. [Paper] [Github]
30 Mar 2023
4D Facial Expression Diffusion Model
Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo
arXiv 2023. [Paper] [Github]
29 Mar 2023
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path
Qian Wang, Biao Zhang, Michael Birsak, Peter Wonka
arXiv 2023. [Paper] [Github]
29 Mar 2023
Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion
Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, Takuya Narihira
arXiv 2023. [Paper] [Github]
28 Mar 2023
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Shahbaz Khan, Qibin Hou, Yaxing Wang, Jian Yang
arXiv 2023. [Paper]
28 Mar 2023
Seer: Language Instructed Video Prediction with Latent Diffusion Models
Xianfan Gu, Chuan Wen, Jiaming Song, Yang Gao
CVPR Workshop 2023. [Paper]
27 Mar 2023
Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation
Susung Hong, Donghoon Ahn, Seungryong Kim
arXiv 2023. [Paper]
27 Mar 2023
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
Thanh Van Le, Hao Phung, Thuan Hoang Nguyen, Quan Dao, Ngoc Tran, Anh Tran
SIGGRAPH 2023. [Paper] [Github]
27 Mar 2023
GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents
Tenglong Ao, Zeyi Zhang, Libin Liu
arXiv 2023. [Paper]
26 Mar 2023
Better Aligning Text-to-Image Models with Human Preference
Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, Hongsheng Li
arXiv 2023. [Paper] [Github]
25 Mar 2023
ISS++: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
ICLR 2023. [Paper]
24 Mar 2023
DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis
Jiapeng Tang, Yinyu Nie, Lev Markhasin, Angela Dai, Justus Thies, Matthias Nießner
arXiv 2023. [Paper] [Project]
24 Mar 2023
CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
Yiqi Lin, Haotian Bai, Sijia Li, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang
arXiv 2023. [Paper] [Project]
24 Mar 2023
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia
arXiv 2023. [Paper]
24 Mar 2023
ReVersion: Diffusion-Based Relation Inversion from Images
Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin C.K. Chan, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
23 Mar 2023
Ablating Concepts in Text-to-Image Diffusion Models
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
arXiv 2023. [Paper] [Project] [Github]
23 Mar 2023
Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators
Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi
arXiv 2023. [Paper] [Github]
23 Mar 2023
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wenjing Yang
arXiv 2023. [Paper] [Project] [Github]
23 Mar 2023
Pix2Video: Video Editing using Image Diffusion
Duygu Ceylan, Chun-Hao Paul Huang, Niloy J. Mitra
arXiv 2023. [Paper] [Project]
22 Mar 2023
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
arXiv 2023. [Paper] [Project]
22 Mar 2023
SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation
Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, Minhyuk Sung
arXiv 2023. [Paper] [Project]
21 Mar 2023
Vox-E: Text-guided Voxel Editing of 3D Objects
Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor
arXiv 2023. [Paper] [Project]
21 Mar 2023
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun
arXiv 2023. [Paper]
21 Mar 2023
3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion
Yu-Jhe Li, Kris Kitani
arXiv 2023. [Paper]
21 Mar 2023
Text2Tex: Text-driven Texture Synthesis via Diffusion Models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
arXiv 2023. [Paper] [Project]
20 Mar 2023
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, Daniel Cohen-Or
arXiv 2023. [Paper] [Project]
20 Mar 2023
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris Metaxas, Feng Yang
arXiv 2023. [Paper]
20 Mar 2023
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
René Haas, Inbar Huberman-Spiegelglas, Rotem Mulayoff, Tomer Michaeli
arXiv 2023. [Paper]
20 Mar 2023
SKED: Sketch-guided Text-based 3D Editing
Aryan Mikaeili, Or Perel, Daniel Cohen-Or, Ali Mahdavi-Amiri
arxiv 2023. [Paper]
19 Mar 2023
DialogPaint: A Dialog-based Image Editing Model
Jingxuan Wei, Shiyu Wu, Xin Jiang, Yequan Wang
arXiv 2023. [Paper]
17 Mar 2023
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu
arXiv 2023. [Paper]
17 Mar 2023
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen
arXiv 2023. [Paper]
17 Mar 2023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang
arXiv 2023. [Paper] [Github]
17 Mar 2023
Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation
Yiyang Ma, Huan Yang, Wenjing Wang, Jianlong Fu, Jiaying Liu
arXiv 2023. [Paper]
16 Mar 2023
FateZero: Fusing Attentions for Zero-shot Text-based Video Editing
Chenyang Qi, Xiaodong Cun, Yong Zhang, Chenyang Lei, Xintao Wang, Ying Shan, Qifeng Chen
arXiv 2023. [Paper] [Project] [Github]
16 Mar 2023
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu
arXiv 2023. [Paper]
16 Mar 2023
P+: Extended Textual Conditioning in Text-to-Image Generation
Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, Kfir Aberman
arXiv 2023. [Paper] [Project]
16 Mar 2023
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion
Inhwa Han, Serin Yang, Taesung Kwon, Jong Chul Ye
arXiv 2023. [Paper]
15 Mar 2023
Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion Models
Divya Kothandaraman, Tianyi Zhou, Ming Lin, Dinesh Manocha
arXiv 2023. [Paper] [Github]
15 Mar 2023
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer
Serin Yang, Hyunmin Hwang, Jong Chul Ye
arXiv 2023. [Paper]
15 Mar 2023
Edit-A-Video: Single Video Editing with Object-Aware Consistency
Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
arXiv 2023. [Paper] [Project]
14 Mar 2023
Editing Implicit Assumptions in Text-to-Image Diffusion Models
Hadas Orgad, Bahjat Kawar, Yonatan Belinkov
arXiv 2023. [Paper] [Project] [Github]
14 Mar 2023
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim
arXiv 2023. [Paper]
14 Mar 2023
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
Chenfei Wu, Shengming Yin, Weizhen Qi, Xiaodong Wang, Zecheng Tang, Nan Duan
arXiv 2023. [Paper] [Github]
8 Mar 2023
Video-P2P: Video Editing with Cross-attention Control
Shaoteng Liu, Yuechen Zhang, Wenbo Li, Zhe Lin, Jiaya Jia
arXiv 2023. [Paper] [Project]
8 Mar 2023
Erasing Concepts from Diffusion Models
Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau
arXiv 2023. [Paper] [Project] [Github]
13 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
arXiv 2023. [Paper] [Github]
12 Mar 2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao
arXiv 2023. [Paper]
9 Mar 2023
A Prompt Log Analysis of Text-to-Image Generation Systems
Yutong Xie, Zhaoying Pan, Jinge Ma, Jie Luo, Qiaozhu Mei
arXiv 2023. [Paper]
8 Mar 2023
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
Zhiwei Tang, Dmitry Rybin, Tsung-Hui Chang
arXiv 2023. [Paper] [Github]
7 Mar 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu
arXiv 2023. [Paper] [Github]
3 Mar 2023
Collage Diffusion
Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian
arXiv 2023. [Paper]
1 Mar 2023
Towards Enhanced Controllability of Diffusion Models
Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David I. Inouye, Ajinkya Kale
arXiv 2023. [Paper]
28 Feb 2023
Directed Diffusion: Direct Control of Object Placement through Attention Guidance
Wan-Duo Kurt Ma, J.P. Lewis, W. Bastiaan Kleijn, Thomas Leung
arXiv 2023. [Paper]
25 Feb 2023
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz
arXiv 2023. [Paper]
24 Feb 2023
Region-Aware Diffusion for Zero-shot Text-driven Image Editing
Nisha Huang, Fan Tang, Weiming Dong, Tong-Yee Lee, Changsheng Xu
arXiv 2023. [Paper] [Github]
23 Feb 2023
Controlled and Conditional Text to Image Generation with Diffusion Prior
Pranav Aggarwal, Hareesh Ravi, Naveen Marri, Sachin Kelkar, Fengbin Chen, Vinh Khuc, Midhun Harikumar, Ritiz Tambi, Sudharshan Reddy Kakumanu, Purvak Lapsiya, Alvin Ghouas, Sarah Saber, Malavika Ramprasad, Baldo Faieta, Ajinkya Kale
arXiv 2023. [Paper]
23 Feb 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl
arXiv 2023. [Paper] [Project]
22 Feb 2023
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images
Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan
arXiv 2023. [Paper]
21 Feb 2023
Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension
Henry Kvinge, Davis Brown, Charles Godfrey
arXiv 2023. [Paper]
16 Feb 2023
Text-driven Visual Synthesis with Latent Diffusion Prior
Ting-Hsuan Liao, Songwei Ge, Yiran Xu, Yao-Chih Lee, Badour AlBahar, Jia-Bin Huang
arXiv 2023. [Paper] [Project]
16 Feb 2023
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
Chong Mou, Xintao Wang, Liangbin Xie, Jian Zhang, Zhongang Qi, Ying Shan, Xiaohu Qie
arXiv 2023. [Paper] [Github]
16 Feb 2023
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel
arXiv 2023. [Paper] Project] [Github]
16 Feb 2023
Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models
Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
arXiv 2023. [Paper]
16 Feb 2023
Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
Joshua Vendrow, Saachi Jain, Logan Engstrom, Aleksander Madry
arXiv 2023. [Paper] [Github]
15 Feb 2023
PRedItOR: Text Guided Image Editing with Diffusion Prior
Hareesh Ravi, Sachin Kelkar, Midhun Harikumar, Ajinkya Kale
arXiv 2023. [Paper]
15 Feb 2023
Text-Guided Scene Sketch-to-Photo Synthesis
AprilPyone MaungMaung, Makoto Shing, Kentaro Mitsui, Kei Sawada, Fumio Okura
arXiv 2023. [Paper]
14 Feb 2023
Universal Guidance for Diffusion Models
Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein
arXiv 2023. [Paper] [Github]
14 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang, Maneesh Agrawala
arXiv 2023. [Paper] [Github]
10 Feb 2023
Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance
Chaerin Kong, Nojun Kwak
arXiv 2023. [Paper]
10 Feb 2023
Is This Loss Informative? Speeding Up Textual Inversion with Deterministic Objective Evaluation
Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin
arXiv 2023. [Paper]
9 Feb 2023
Q-Diffusion: Quantizing Diffusion Models
Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
arXiv 2023. [Paper] [Github]
8 Feb 2023
GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, Ben Y. Zhao
arXiv 2023. [Paper]
8 Feb 2023
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models
Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
8 Feb 2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Felix Friedrich, Patrick Schramowski, Manuel Brack, Lukas Struppek, Dominik Hintersdorf, Sasha Luccioni, Kristian Kersting
arXiv 2023. [Paper]
7 Feb 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein
arXiv 2023. [Paper] [Github]
7 Feb 2023
Zero-shot Image-to-Image Translation
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
arXiv 2023. [Paper]
6 Feb 2023
Structure and Content-Guided Video Synthesis with Diffusion Models
Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis
arXiv 2023. [Paper] [Project]
6 Feb 2023
Mixture of Diffusers for scene composition and high resolution image generation
Álvaro Barbero Jiménez
arXiv 2023. [Paper] [Github]
5 Feb 2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li
arXiv 2023. [Paper]
5 Feb 2023
Eliminating Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion
Zuopeng Yang, Tianshu Chu, Xin Lin, Erdun Gao, Daqing Liu, Jie Yang, Chaoyue Wang
arXiv 2023. [Paper]
5 Feb 2023
Semantic-Guided Image Augmentation with Pre-trained Models
Bohan Li, Xinghao Wang, Xiao Xu, Yutai Hou, Yunlong Feng, Feng Wang, Wanxiang Che
SIGGRAPH 2023. [Paper] [Project]
4 Feb 2023
TEXTure: Text-Guided Texturing of 3D Shapes
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
3 Feb 2023
Dreamix: Video Diffusion Models are General Video Editors
Eyal Molad, Eliahu Horwitz, Dani Valevski, Alex Rav Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, Yedid Hoshen
arXiv 2023. [Paper] [Project]
2 Feb 2023
Trash to Treasure: Using text-to-image models to inform the design of physical artefacts
Amy Smith, Hope Schroeder, Ziv Epstein, Michael Cook, Simon Colton, Andrew Lippman
AAAI 2023. [Paper]
1 Feb 2023
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, Daniel Cohen-Or
SIGGRAPH 2023. [Paper] [Project] [Github]
31 Jan 2023
Zero3D: Semantic-Driven Multi-Category 3D Shape Generation
Bo Han, Yitong Liu, Yixuan Shen
arXiv 2023. [Paper]
31 Jan 2023
Shape-aware Text-driven Layered Video Editing
Yao-Chih Lee, Ji-Ze Genevieve Jang, Yi-Ting Chen, Elizabeth Qiu, Jia-Bin Huang
arXiv 2023. [Paper] [Project]
30 Jan 2023
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
arXiv 2023. [Paper] [Github]
30 Jan 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Ming Tao, Bing-Kun Bao, Hao Tang, Changsheng Xu
CVPR 2023. [Paper] [Github]
30 Jan 2023
SEGA: Instructing Diffusion using Semantic Dimensions
Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting
arXiv 2023. [Paper]
28 Jan 2023
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset
Zhixuan Liu, Youeun Shin, Beverley-Claire Okogwu, Youngsik Yun, Lia Coleman, Peter Schaldenbrand, Jihie Kim, Jean Oh
arXiv 2023. [Paper]
28 Jan 2023
Text-To-4D Dynamic Scene Generation
Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman
arXiv 2023. [Paper]
26 Jan 2023
Guiding Text-to-Image Diffusion Model Towards Grounded Generation
Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie
arXiv 2023. [Paper] [Project]
12 Jan 2023
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Dan Bigioi, Shubhajit Basak, Hugh Jordan, Rachel McDonnell, Peter Corcoran
arXiv 2023. [Paper] [Project] [Github]
10 Jan 2023
Visual Story Generation Based on Emotion and Keywords
Yuetian Chen, Ruohua Li, Bowen Shi, Peiru Liu, Mei Si
AIIDE INT 2022. [Paper]
7 Jan 2023
DiffTalk: Crafting Diffusion Models for Generalized Talking Head Synthesis
Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu
arXiv 2023. [Paper]
10 Jan 2023
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Dan Bigioi, Shubhajit Basak, Hugh Jordan, Rachel McDonnell, Peter Corcoran
arXiv 2023. [Paper]
10 Jan 2023
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
Michał Stypułkowski, Konstantinos Vougioukas, Sen He, Maciej Zięba, Stavros Petridis, Maja Pantic
arXiv 2023. [Paper] [Project]
6 Jan 2023
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang, Han Zhang, Jarred Barber, AJ Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
arXiv 2023. [Paper] [Project]
2 Jan 2023
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao
CVPR 2023. [Paper] [Project]
28 Dec 2022
Exploring Vision Transformers as Diffusion Learners
He Cao, Jianan Wang, Tianhe Ren, Xianbiao Qi, Yihao Chen, Yuan Yao, Lei Zhang
arXiv 2022. [Paper]
28 Dec 2022
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou
arXiv 2022. [Paper] [Project]
22 Dec 2022
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias
Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan
arXiv 2022. [Paper]
21 Dec 2022
Optimizing Prompts for Text-to-Image Generation
Yaru Hao, Zewen Chi, Li Dong, Furu Wei
arXiv 2022. [Paper] [Project] [Github]
19 Dec 2022
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang
arXiv 2022. [Paper] [Github]
16 Dec 2022
TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models
Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti
arXiv 2022. [Paper]
15 Dec 2022
The Infinite Index: Information Retrieval on Generative Text-To-Image Models
Niklas Deckers, Maik Fröbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schröder, Benno Stein, Martin Potthast
CHIIR 2023. [Paper]
14 Dec 2022
LidarCLIP or: How I Learned to Talk to Point Clouds
Georg Hess, Adam Tonderski, Christoffer Petersson, Lennart Svensson, Kalle Åström
arXiv 2022. [Paper] [Github]
13 Dec 2022
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting
Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
CVPR 2023. [Paper]
13 Dec 2022
The Stable Artist: Steering Semantics in Diffusion Latent Space
Manuel Brack, Patrick Schramowski, Felix Friedrich, Dominik Hintersdorf, Kristian Kersting
arXiv 2022. [Paper]
12 Dec 2022
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model
Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, Kun Zhang
arXiv 2022. [Paper]
9 Dec 2022
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang
ICLR 2023. [Paper] [Github]
9 Dec 2022
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt
arXiv 2022. [Paper] [Project]
8 Dec 2022
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander Schwing, Liangyan Gui
arXiv 2022. [Paper] [Project]
8 Dec 2022
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris Metaxas, Jian Ren
arXiv 2022. [Paper] [Project] [Github]
8 Dec 2022
Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
arXiv 2022. [Paper] [Project]
8 Dec 2022
Diffusion Guided Domain Adaptation of Image Generators
Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris Metaxas, Ahmed Elgammal
arXiv 2022. [Paper] [Project]
8 Dec 2022
Executing your Commands via Motion Diffusion in Latent Space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
arXiv 2022. [Paper] [Project]
8 Dec 2022
Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors
Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang
arXiv 2022. [Paper] [Project]
7 Dec 2022
Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation
Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Xiu Li
arXiv 2022. [Paper]
7 Dec 2022
Judge, Localize, and Edit: Ensuring Visual Commonsense Morality for Text-to-Image Generation
Seongbeom Park, Suhong Moon, Jinkyu Kim
arXiv 2022. [Paper]
7 Dec 2022
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
Congyue Deng, Chiyu "Max'' Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov
arXiv 2022. [Paper]
6 Dec 2022
Semantic-Conditional Diffusion Networks for Image Captioning
Jianjie Luo, Yehao Li, Yingwei Pan, Ting Yao, Jianlin Feng, Hongyang Chao, Tao Mei
CVPR 2023. [Paper] [Github]
6 Dec 2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu
CVPR 2023. [Paper] [Project] [Github]
6 Dec 2022
ADIR: Adaptive Diffusion for Image Reconstruction
Shady Abu-Hussein, Tom Tirer, Raja Giryes
arXiv 2022. [Paper] [Project]
6 Dec 2022
M-VADER: A Model for Diffusion with Multimodal Context
Samuel Weinbach, Marco Bellagente, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andres Felipe Cruz-Salinas
arXiv 2022. [Paper]
6 Dec 2022
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang
CVPR 2023. [Paper] [Project] [Github]
6 Dec 2022
Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models
Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel
arXiv 2022. [Paper] [Project]
1 Dec 2022
Shape-Guided Diffusion with Inside-Outside Attention
Dong Huk Park, Grace Luo, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell
arXiv 2022. [Paper] [Project]
1 Dec 2022
SinDDM: A Single Image Denoising Diffusion Model
Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli
arXiv 2022. [Paper] [Project]
29 Nov 2022
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
Gwanghyun Kim, Se Young Chun
CVPR 2023. [Paper] [Github]
29 Nov 2022
Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning
Xian Zhong, Zipeng Li, Shuqin Chen, Kui Jiang, Chen Chen, Mang Ye
arXiv 2022. [Paper] [Github]
28 Nov 2022
Unified Discrete Diffusion for Simultaneous Vision-Language Generation
Minghui Hu, Chuanxia Zheng, Heliang Zheng, Tat-Jen Cham, Chaoyue Wang, Zuopeng Yang, Dacheng Tao, Ponnuthurai N. Suganthan
arXiv 2022. [Paper]
27 Nov 2022
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao
arXiv 2022. [Paper]
25 Nov 2022
SpaText: Spatio-Textual Representation for Controllable Image Generation
Omri Avrahami, Thomas Hayes, Oran Gafni, Sonal Gupta, Yaniv Taigman, Devi Parikh, Dani Lischinski, Ohad Fried, Xi Yin
CVPR 2023. [Paper] [Project]
25 Nov 2022
Sketch-Guided Text-to-Image Diffusion Models
Andrey Voynov, Kfir Aberman, Daniel Cohen-Or
arXiv 2022. [Paper] [Project]
24 Nov 2022
Shifted Diffusion for Text-to-image Generation
Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu
CVPR 2023. [Paper]
24 Nov 2022
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
Tanzila Rahman, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Shweta Mahajan, Leonid Sigal
CVPR 2023. [Paper]
23 Nov 2022
Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition
Jennifer C. White, Ryan Cotterell
arXiv 2022. [Paper]
23 Nov 2022
EDICT: Exact Diffusion Inversion via Coupled Transformations
Bram Wallace, Akash Gokul, Nikhil Naik
arXiv 2022. [Paper] [Github]
22 Nov 2022
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CVPR 2023. [Paper] [Github]
22 Nov 2022
Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark
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NeurIPS Workshop 2022. [Paper]
22 Nov 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
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arXiv 2022. [Paper] [Github]
22 Nov 2022
SinFusion: Training Diffusion Models on a Single Image or Video
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arXiv 2022. [Paper] [Github]
21 Nov 2022
Exploring Discrete Diffusion Models for Image Captioning
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arXiv 2022. [Paper] [Github]
21 Nov 2022
Investigating Prompt Engineering in Diffusion Models
Sam Witteveen, Martin Andrews
NeurIPS Workshop 2022. [Paper]
21 Nov 2022
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
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arXiv 2022. [Paper] [Project]
21 Nov 2022
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
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20 Nov 2022
DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization
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arXiv 2022. [Paper]
19 Nov 2022
Magic3D: High-Resolution Text-to-3D Content Creation
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18 Nov 2022
Invariant Learning via Diffusion Dreamed Distribution Shifts
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arXiv 2022. [Paper]
18 Nov 2022
Null-text Inversion for Editing Real Images using Guided Diffusion Models
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arXiv 2022. [Paper]
17 Nov 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions
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CVPR 2023. [Paper] [Project] [Github]
17 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
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arXiv 2022. [Paper] [Github]
15 Nov 2022
Direct Inversion: Optimization-Free Text-Driven Real Image Editing with Diffusion Models
Adham Elarabawy, Harish Kamath, Samuel Denton
arXiv 2022. [Paper]
15 Nov 2022
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation
Zhihong Pan, Xin Zhou, Hao Tian
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14 Nov 2022
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
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9 Nov 2022
Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models
Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
arXiv 2022. [Paper] [Github]
4 Nov 2022
eDiffi: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu
arXiv 2022. [Paper] [Github]
2 Nov 2022
MagicMix: Semantic Mixing with Diffusion Models
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arXiv 2022. [Paper] [Project]
28 Oct 2022
UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance
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arXiv 2022. [Paper]
28 Oct 2022
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
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EMNLP 2022. [Paper] [Github]
27 Oct 2022
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts
Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
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26 Oct 2022
Lafite2: Few-shot Text-to-Image Generation
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arXiv 2022. [Paper]
25 Oct 2022
High-Resolution Image Editing via Multi-Stage Blended Diffusion
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NeurIPS Workshop 2022. [Paper] [Github]
24 Oct 2022
Conditional Diffusion with Less Explicit Guidance via Model Predictive Control
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arXiv 2022. [Paper]
21 Oct 2022
A Visual Tour Of Current Challenges In Multimodal Language Models
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arXiv 2022. [Paper]
22 Oct 2022
DiffEdit: Diffusion-based semantic image editing with mask guidance
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ICLR 2023. [Paper]
20 Oct 2022
Diffusion Models already have a Semantic Latent Space
Mingi Kwon, Jaeseok Jeong, Youngjung Uh
ICLR 2023. [Paper] [Project]
20 Oct 2022
UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image
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arXiv 2022. [Paper]
18 Oct 2022
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation
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arXiv 2022. [Paper]
18 Oct 2022
Imagic: Text-Based Real Image Editing with Diffusion Models
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CVPR 2023. [Paper] [Project]
17 Oct 2022
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
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12 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
Chen Henry Wu, Fernando De la Torre
arXiv 2022. [Paper] [Github-1] [Github-2]
11 Oct 2022
Imagen Video: High Definition Video Generation with Diffusion Models
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5 Oct 2022
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
Ivan Kapelyukh, Vitalis Vosylius, Edward Johns
IEEE RA-L 2022. [Paper]
5 Oct 2022
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota
BMVC 2022. [Paper]
5 Oct 2022
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP
Justin N. M. Pinkney, Chuan Li
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5 Oct 2022
Membership Inference Attacks Against Text-to-image Generation Models
Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang
arXiv 2022. [Paper]
3 Oct 2022
Make-A-Video: Text-to-Video Generation without Text-Video Data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, Yaniv Taigman
arXiv 2022. [Paper]
29 Sep 2022
DreamFusion: Text-to-3D using 2D Diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
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29 Sep 2022
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen
arXiv 2022. [Paper]
29 Sep 2022
Creative Painting with Latent Diffusion Models
Xianchao Wu
arXiv 2022. [Paper]
29 Sep 2022
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion
Nisha Huang, Fan Tang, Weiming Dong, Changsheng Xu
ACM MM 2022. [Paper] [Github]
27 Sep 2022
Personalizing Text-to-Image Generation via Aesthetic Gradients
Victor Gallego
NeurIPS Workshop 2022. [Paper] [Github]
25 Sep 2022
Best Prompts for Text-to-Image Models and How to Find Them
Nikita Pavlichenko, Dmitry Ustalov
NeurIPS Workshop 2022. [Paper]
23 Sep 2022
The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models
Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
arXiv 2022. [Paper] [Github]
19 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
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NeurIPS 2022. [Paper] [Github]
14 Sep 2022
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
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9 Sep 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
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CVPR 2023. [Paper] [Project] [Github]
25 Aug 2022
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models
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26 Jul 2022
Discrete Contrastive Diffusion for Cross-Modal and Conditional Generation
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15 Jun 2022
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Omri Avrahami, Ohad Fried, Dani Lischinski
ACM 2022. [Paper] [Project] [Github]
6 Jun 2022
Compositional Visual Generation with Composable Diffusion Models
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3 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
Jie Shi, Chenfei Wu, Jian Liang, Xiang Liu, Nan Duan
arXiv 2022. [Paper]
1 Jun 2022
Improved Vector Quantized Diffusion Models
Zhicong Tang, Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen
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31 May 2022
Text2Human: Text-Driven Controllable Human Image Generation
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31 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, Mohammad Norouzi
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23 May 2022
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25 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen
arXiv 2022. [Paper] [Github]
13 Apr 2022
KNN-Diffusion: Image Generation via Large-Scale Retrieval
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6 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models
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CVPR 2022. [Paper] [Github]
20 Dec 2021
More Control for Free! Image Synthesis with Semantic Diffusion Guidance
Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell
WACV 2021. [Paper] [Project]
10 Dec 2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis
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CVPR 2022. [Paper] [Github]
29 Nov 2021
Blended Diffusion for Text-driven Editing of Natural Images
Omri Avrahami, Dani Lischinski, Ohad Fried
CVPR 2022. [Paper] [Project] [Github]
29 Nov 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao, Karsten Kreis, Arash Vahdat
ICLR 2022 (Spotlight). [Paper] [Project]
15 Dec 2021
DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
Gwanghyun Kim, Jong Chul Ye
CVPR 2022. [Paper] [Github]
6 Oct 2021
3D Vision
Text-to-3D with Classifier Score Distillation
Xin Yu, Yuan-Chen Guo, Yangguang Li, Ding Liang, Song-Hai Zhang, Xiaojuan Qi
arXiv 2023. [Paper]
30 Oct 2023
Controllable Group Choreography using Contrastive Diffusion
Nhat Le, Tuong Do, Khoa Do, Hien Nguyen, Erman Tjiputra, Quang D. Tran, Anh Nguyen
ACM ToG 2023. [Paper]
29 Oct 2023
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation
Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang
arXiv 2023. [Paper]
26 Oct 2023
6-DoF Stability Field via Diffusion Models
Takuma Yoneda, Tianchong Jiang, Gregory Shakhnarovich, Matthew R. Walter
arXiv 2023. [Paper]
26 Oct 2023
DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
Jingxiang Sun, Bo Zhang, Ruizhi Shao, Lizhen Wang, Wen Liu, Zhenda Xie, Yebin Liu
arXiv 2023. [Paper]
25 Oct 2023
DiffRef3D: A Diffusion-based Proposal Refinement Framework for 3D Object Detection
Se-Ho Kim, Inyong Koo, Inyoung Lee, Byeongjun Park, Changick Kim
arXiv 2023. [Paper]
25 Oct 2023
iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis
Yash Kant, Aliaksandr Siarohin, Michael Vasilkovsky, Riza Alp Guler, Jian Ren, Sergey Tulyakov, Igor Gilitschenski
SIGGRAPH ASIA 2023. [Paper] [Project]
24 Oct 2023
Wonder3D: Single Image to 3D using Cross-Domain Diffusion
Xiaoxiao Long, Yuan-Chen Guo, Cheng Lin, Yuan Liu, Zhiyang Dou, Lingjie Liu, Yuexin Ma, Song-Hai Zhang, Marc Habermann, Christian Theobalt, Wenping Wang
arXiv 2023. [Paper]
23 Oct 2023
MAS: Multi-view Ancestral Sampling for 3D motion generation using 2D diffusion
Roy Kapon, Guy Tevet, Daniel Cohen-Or, Amit H. Bermano
arXiv 2023. [Paper]
23 Oct 2023
High-Quality 3D Face Reconstruction with Affine Convolutional Networks
Zhiqian Lin, Jiangke Lin, Lincheng Li, Yi Yuan, Zhengxia Zou
arXiv 2023. [Paper]
22 Oct 2023
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin
arXiv 2023. [Paper]
20 Oct 2023
Conditional Generative Modeling for Images, 3D Animations, and Video
Vikram Voleti
arXiv 2023. [Paper]
19 Oct 2023
TapMo: Shape-aware Motion Generation of Skeleton-free Characters
Jiaxu Zhang, Shaoli Huang, Zhigang Tu, Xin Chen, Xiaohang Zhan, Gang Yu, Ying Shan
arXiv 2023. [Paper]
19 Oct 2023
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
Zijie Pan, Jiachen Lu, Xiatian Zhu, Li Zhang
arXiv 2023. [Paper]
19 Oct 2023
Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
Xinhua Cheng, Tianyu Yang, Jianan Wang, Yu Li, Lei Zhang, Jian Zhang, Li Yuan
arXiv 2023. [Paper]
18 Oct 2023
3D Structure-guided Network for Tooth Alignment in 2D Photograph
Yulong Dou, Lanzhuju Mei, Dinggang Shen, Zhiming Cui
arXiv 2023. [Paper]
17 Oct 2023
DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing
Jia-Wei Liu, Yan-Pei Cao, Jay Zhangjie Wu, Weijia Mao, Yuchao Gu, Rui Zhao, Jussi Keppo, Ying Shan, Mike Zheng Shou
arXiv 2023. [Paper]
16 Oct 2023
ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion
Jiayu Yang, Ziang Cheng, Yunfei Duan, Pan Ji, Hongdong Li
arXiv 2023. [Paper]
16 Oct 2023
PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation
Jianhui Yu, Hao Zhu, Liming Jiang, Chen Change Loy, Weidong Cai, Wayne Wu
arXiv 2023. [Paper]
14 Oct 2023
OmniControl: Control Any Joint at Any Time for Human Motion Generation
Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, Huaizu Jiang
arXiv 2023. [Paper] [Project]
12 Oct 2023
Consistent123: Improve Consistency for One Image to 3D Object Synthesis
Haohan Weng, Tianyu Yang, Jianan Wang, Yu Li, Tong Zhang, C. L. Philip Chen, Lei Zhang
arXiv 2023. [Paper] [Project]
12 Oct 2023
What Does Stable Diffusion Know about the 3D Scene?
Guanqi Zhan, Chuanxia Zheng, Weidi Xie, Andrew Zisserman
arXiv 2023. [Paper]
10 Oct 2023
HiFi-123: Towards High-fidelity One Image to 3D Content Generation
Wangbo Yu, Li Yuan, Yan-Pei Cao, Xiangjun Gao, Xiaoyu Li, Long Quan, Ying Shan, Yonghong Tian
arXiv 2023. [Paper]
10 Oct 2023
IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts
Bohan Zeng, Shanglin Li, Yutang Feng, Hong Li, Sicheng Gao, Jiaming Liu, Huaxia Li, Xu Tang, Jianzhuang Liu, Baochang Zhang
arXiv 2023. [Paper]
9 Oct 2023
DragD3D: Vertex-based Editing for Realistic Mesh Deformations using 2D Diffusion Priors
Tianhao Xie, Eugene Belilovsky, Sudhir Mudur, Tiberiu Popa
arXiv 2023. [Paper]
6 Oct 2023
Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints
Chuan Fang, Xiaotao Hu, Kunming Luo, Ping Tan
arXiv 2023. [Paper]
5 Oct 2023
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
Haiping Wang, Yuan Liu, Bing Wang, Yujing Sun, Zhen Dong, Wenping Wang, Bisheng Yang
arXiv 2023. [Paper]
5 Oct 2023
Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models
Jianglong Ye, Peng Wang, Kejie Li, Yichun Shi, Heng Wang
arXiv 2023. [Paper] [Project]
4 Oct 2023
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
Yifan Jiang, Hao Tang, Jen-Hao Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao
arXiv 2023. [Paper]
4 Oct 2023
T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation
Yuze He, Yushi Bai, Matthieu Lin, Wang Zhao, Yubin Hu, Jenny Sheng, Ran Yi, Juanzi Li, Yong-Jin Liu
arXiv 2023. [Paper] [Project] [Github]
4 Oct 2023
ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF
Jangho Park, Gihyun Kwon, Jong Chul Ye
arXiv 2023. [Paper]
4 Oct 2023
MagicDrive: Street View Generation with Diverse 3D Geometry Control
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
arXiv 2023. [Paper] [Project]
4 Oct 2023
SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D
Weiyu Li, Rui Chen, Xuelin Chen, Ping Tan
arXiv 2023. [Paper] [Project]
4 Oct 2023
Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic Models
Huaijin Pi, Sida Peng, Minghui Yang, Xiaowei Zhou, Hujun Bao
arXiv 2023. [Paper] [Project] [Github]
3 Oct 2023
HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation
Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wang
arXiv 2023. [Paper] [Project]
2 Oct 2023
Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering
Linjie Lyu, Ayush Tewari, Marc Habermann, Shunsuke Saito, Michael Zollhöfer, Thomas Leimkühler, Christian Theobalt
arXiv 2023. [Paper]
30 Sep 2023
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion
Erik Buhmann, Cedric Ewen, Darius A. Faroughy, Tobias Golling, Gregor Kasieczka, Matthew Leigh, Guillaume Quétant, John Andrew Raine, Debajyoti Sengupta, David Shih
arXiv 2023. [Paper]
29 Sep 2023
Consistent123: One Image to Highly Consistent 3D Asset Using Case-Aware Diffusion Priors
Yukang Lin, Haonan Han, Chaoqun Gong, Zunnan Xu, Yachao Zhang, Xiu Li
arXiv 2023. [Paper]
29 Sep 2023
Object Motion Guided Human Motion Synthesis
Jiaman Li, Jiajun Wu, C. Karen Liu
arXiv 2023. [Paper]
28 Sep 2023
ITEM3D: Illumination-Aware Directional Texture Editing for 3D Models
Shengqi Liu, Zhuo Chen, Jingnan Gao, Yichao Yan, Wenhan Zhu, Xiaobo Li, Ke Gao, Jiangjing Lyu, Xiaokang Yang
arXiv 2023. [Paper]
26 Sep 2023
Light Field Diffusion for Single-View Novel View Synthesis
Yifeng Xiong, Haoyu Ma, Shanlin Sun, Kun Han, Xiaohui Xie
arXiv 2023. [Paper]
20 Sep 2023
Latent Diffusion Models for Structural Component Design
Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
arXiv 2023. [Paper]
20 Sep 2023
FaceDiffuser: Speech-Driven 3D Facial Animation Synthesis Using Diffusion
Stefan Stan, Kazi Injamamul Haque, Zerrin Yumak
arXiv 2023. [Paper]
20 Sep 2023
TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models
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SIGGRAPH ASIA 2023. [Paper]
20 Sep 2023
Language-Conditioned Affordance-Pose Detection in 3D Point Clouds
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arXiv 2023. [Paper]
19 Sep 2023
Large Intestine 3D Shape Refinement Using Point Diffusion Models for Digital Phantom Generation
Kaouther Mouheb, Mobina Ghojogh Nejad, Lavsen Dahal, Ehsan Samei, W. Paul Segars, Joseph Y. Lo
arXiv 2023. [Paper]
15 Sep 2023
Unsupervised Disentangling of Facial Representations with 3D-aware Latent Diffusion Models
Ruian He, Zhen Xing, Weimin Tan, Bo Yan
arXiv 2023. [Paper]
15 Sep 2023
M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations
Giada Zingarini, Davide Cozzolino, Riccardo Corvi, Giovanni Poggi, Luisa Verdoliva
arXiv 2023. [Paper]
14 Sep 2023
Large-Vocabulary 3D Diffusion Model with Transformer
Ziang Cao, Fangzhou Hong, Tong Wu, Liang Pan, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
14 Sep 2023
UnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons
Sicheng Yang, Zilin Wang, Zhiyong Wu, Minglei Li, Zhensong Zhang, Qiaochu Huang, Lei Hao, Songcen Xu, Xiaofei Wu, changpeng yang, Zonghong Dai
ACM MM 2023. [Paper]
13 Sep 2023
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
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ICCV 2023. [Paper]
12 Sep 2023
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
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arXiv 2023. [Paper] [Project] [Github]
7 Sep 2023
SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction
Nivetha Jayakumar, Tonmoy Hossain, Miaomiao Zhang
arXiv 2023. [Paper]
6 Sep 2023
MCM: Multi-condition Motion Synthesis Framework for Multi-scenario
Zeyu Ling, Bo Han, Yongkang Wong, Mohan Kangkanhalli, Weidong Geng
arXiv 2023. [Paper]
6 Sep 2023
DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion
Yunhong Lou, Linchao Zhu, Yaxiong Wang, Xiaohan Wang, Yi Yang
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4 Sep 2023
BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models
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ICCV Workshop 2023. [Paper]
31 Aug 2023
MVDream: Multi-view Diffusion for 3D Generation
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arXiv 2023. [Paper]
31 Aug 2023
Diffusion Inertial Poser: Human Motion Reconstruction from Arbitrary Sparse IMU Configurations
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31 Aug 2023
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
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31 Aug 2023
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28 Aug 2023
HoloFusion: Towards Photo-realistic 3D Generative Modeling
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28 Aug 2023
Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers
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Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views
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27 Aug 2023
Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized sampling
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27 Aug 2023
The DiffuseStyleGesture+ entry to the GENEA Challenge 2023
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ICMI 2023. [Paper] [Github]
26 Aug 2023
Distribution-Aligned Diffusion for Human Mesh Recovery
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ICCV 2023. [Paper] [Project]
25 Aug 2023
EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior
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25 Aug 2023
DF-3DFace: One-to-Many Speech Synchronized 3D Face Animation with Diffusion
Se Jin Park, Joanna Hong, Minsu Kim, Yong Man Ro
arXiv 2023. [Paper]
23 Aug 2023
LongDanceDiff: Long-term Dance Generation with Conditional Diffusion Model
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arXiv 2023. [Paper]
23 Aug 2023
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
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22 Aug 2023
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ICCV 2023. [Paper]
21 Aug 2023
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IJCAI 2023. [Paper] [Github]
19 Aug 2023
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18 Aug 2023
MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR
Xudong Xu, Zhaoyang Lyu, Xingang Pan, Bo Dai
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O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model
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18 Aug 2023
Denoising Diffusion for 3D Hand Pose Estimation from Images
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arXiv 2023. [Paper]
18 Aug 2023
PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation
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18 Aug 2023
Guide3D: Create 3D Avatars from Text and Image Guidance
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arXiv 2023. [Paper]
18 Aug 2023
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction
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MICCAI 2023. [Paper] [Github]
18 Aug 2023
HumanLiff: Layer-wise 3D Human Generation with Diffusion Model
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Watch Your Steps: Local Image and Scene Editing by Text Instructions
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17 Aug 2023
TeCH: Text-guided Reconstruction of Lifelike Clothed Humans
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16 Aug 2023
CCD-3DR: Consistent Conditioning in Diffusion for Single-Image 3D Reconstruction
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arXiv 2023. [Paper]
15 Aug 2023
Dancing Avatar: Pose and Text-Guided Human Motion Videos Synthesis with Image Diffusion Model
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arXiv 2023. [Paper]
15 Aug 2023
3D Scene Diffusion Guidance using Scene Graphs
Mohammad Naanaa, Katharina Schmid, Yinyu Nie
arXiv 2023. [Paper]
8 Aug 2023
Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On
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arXiv 2023. [Paper]
8 Aug 2023
AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose
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7 Aug 2023
Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models
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ICCV Workshop 2023. [Paper] [Github]
5 Aug 2023
DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation
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ACM MM 2023. [Paper]
5 Aug 2023
Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation
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5 Aug 2023
On the Transition from Neural Representation to Symbolic Knowledge
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arXiv 2023. [Paper]
3 Aug 2023
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling
Zhao Yang, Bing Su, Ji-Rong Wen
ACM MM 2023. [Paper] [Github]
3 Aug 2023
HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation
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arXiv 2023. [Paper]
30 Jul 2023
TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction
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30 Jul 2023
TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis
Zihan Zhang, Richard Liu, Kfir Aberman, Rana Hanocka
arXiv 2023. [Paper]
27 Jul 2023
Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation
Chaohui Yu, Qiang Zhou, Jingliang Li, Zhe Zhang, Zhibin Wang, Fan Wang
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26 Jul 2023
Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Shape Estimation
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25 Jul 2023
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis
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14 Jul 2023
AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion
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13 Jul 2023
Articulated 3D Head Avatar Generation using Text-to-Image Diffusion Models
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10 Jul 2023
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation
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7 Jul 2023
AutoDecoding Latent 3D Diffusion Models
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7 Jul 2023
SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object Detection
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5 Jul 2023
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
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4 Jul 2023
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
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30 Jun 2023
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
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29 Jun 2023
DiffComplete: Diffusion-based Generative 3D Shape Completion
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28 Jun 2023
DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation
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21 Jun 2023
EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model
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20 Jun 2023
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18 Jun 2023
AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation
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arXiv 2023. [Paper]
16 Jun 2023
Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model
Lu Yu, Wei Xiang, Kang Han
arXiv 2023. [Paper]
15 Jun 2023
Adding 3D Geometry Control to Diffusion Models
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13 Jun 2023
Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data
Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi
arXiv 2023. [Paper]
13 Jun 2023
3D molecule generation by denoising voxel grids
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arXiv 2023. [Paper]
13 Jun 2023
InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions
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arXiv 2023. [Paper]
12 Jun 2023
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models
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arXiv 2023. [Paper]
9 Jun 2023
Stochastic Multi-Person 3D Motion Forecasting
Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui
arXiv 2023. [Paper]
8 Jun 2023
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections
Chun-Han Yao, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani
arXiv 2023. [Paper]
7 Jun 2023
Synthesizing realistic sand assemblies with denoising diffusion in latent space
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arXiv 2023. [Paper]
7 Jun 2023
AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars
Mohit Mendiratta, Xingang Pan, Mohamed Elgharib, Kartik Teotia, Mallikarjun B R, Ayush Tewari, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt
arXiv 2023. [Paper]
1 Jun 2023
DiffRoom: Diffusion-based High-Quality 3D Room Reconstruction and Generation
Xiaoliang Ju, Zhaoyang Huang, Yijin Li, Guofeng Zhang, Yu Qiao, Hongsheng Li
arXiv 2023. [Paper]
1 Jun 2023
Controllable Motion Diffusion Model
Yi Shi, Jingbo Wang, Xuekun Jiang, Bo Dai
arXiv 2023. [Paper] Project]
1 Jun 2023
FDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
Hao Zhang, Yanbo Xu, Tianyuan Dai, Yu-Wing, Tai Chi-Keung Tang
arXiv 2023. [Paper]
1 Jun 2023
Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images
Junxing Hu, Hongwen Zhang, Zerui Chen, Mengcheng Li, Yunlong Wang, Yebin Liu, Zhenan Sun
arXiv 2023. [Paper] [Project]
31 May 2023
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
Chi Zhang, Yiwen Chen, Yijun Fu, Zhenglin Zhou, Gang YU, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, Chunhua Shen
arXiv 2023. [Paper]
30 May 2023
HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance
Junzhe Zhu, Peiye Zhuang
arXiv 2023. [Paper]
30 May 2023
Conditional Diffusion Models for Semantic 3D Medical Image Synthesis
Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed, Furen Xiao
arXiv 2023. [Paper]
29 May 2023
ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image
Zhenzhen Weng, Zeyu Wang, Serena Yeung
arXiv 2023. [Paper]
25 May 2023
NAP: Neural 3D Articulation Prior
Jiahui Lei, Congyue Deng, Bokui Shen, Leonidas Guibas, Kostas Daniilidis
arXiv 2023. [Paper] [Project]
25 May 2023
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs
Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam
arXiv 2023. [Paper]
25 May 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
arXiv 2023. [Paper] [Project]
25 May 2023
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification
Sitian Shen, Zilin Zhu, Linqian Fan, Harry Zhang, Xinxiao Wu
arXiv 2023. [Paper]
25 May 2023
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
Tsu-Ching Hsiao, Hao-Wei Chen, Hsuan-Kung Yang, Chun-Yi Lee
arXiv 2023. [Paper]
25 May 2023
Deceptive-NeRF: Enhancing NeRF Reconstruction using Pseudo-Observations from Diffusion Models
Xinhang Liu, Shiu-hong Kao, Jiaben Chen, Yu-Wing Tai, Chi-Keung Tang
arXiv 2023. [Paper]
24 May 2023
Manifold Diffusion Fields
Ahmed A. Elhag, Joshua M. Susskind, Miguel Angel Bautista
arXiv 2023. [Paper]
24 May 2023
Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape
Rundi Wu, Ruoshi Liu, Carl Vondrick, Changxi Zheng
arXiv 2023. [Paper] [Project] [Github]
24 May 2023
Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models
Dong Wei, Xiaoning Sun, Huaijiang Sun, Bin Li, Shengxiang Hu, Weiqing Li, Jianfeng Lu
arXiv 2023. [Paper]
23 May 2023
DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models
Lijun Li, Li'an Zhuo, Bang Zhang, Liefeng Bo, Chen Chen
arXiv 2023. [Paper]
23 May 2023
GMD: Controllable Human Motion Synthesis via Guided Diffusion Models
Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, Siyu Tang
arXiv 2023. [Paper] [Project]
21 May 2023
Towards Globally Consistent Stochastic Human Motion Prediction via Motion Diffusion
Jiarui Sun, Girish Chowdhary
arXiv 2023. [Paper]
21 May 2023
Few-shot 3D Shape Generation
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
arXiv 2023. [Paper]
19 May 2023
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models
Byungjun Kim, Patrick Kwon, Kwangho Lee, Myunggi Lee, Sookwan Han, Daesik Kim, Hanbyul Joo
arXiv 2023. [Paper] [Project]
19 May 2023
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao
arXiv 2023. [Paper]
19 May 2023
RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture
Liangchen Song, Liangliang Cao, Hongyu Xu, Kai Kang, Feng Tang, Junsong Yuan, Yang Zhao
arXiv 2023. [Paper]
18 May 2023
LDM3D: Latent Diffusion Model for 3D
Gabriela Ben Melech Stan, Diana Wofk, Scottie Fox, Alex Redden, Will Saxton, Jean Yu, Estelle Aflalo, Shao-Yen Tseng, Fabio Nonato, Matthias Muller, Vasudev Lal
arXiv 2023. [Paper]
18 May 2023
Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation
Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, Sonal Gupta
arXiv 2023. [Paper] [Project]
16 May 2023
FitMe: Deep Photorealistic 3D Morphable Model Avatars
Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis, Baris Gecer, Jiankang Deng, Stefanos Zafeiriou
CVPR 2023. [Paper] [Project]
16 May 2023
AMD: Autoregressive Motion Diffusion
Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li
arXiv 2023. [Paper]
16 May 2023
Text-guided High-definition Consistency Texture Model
Zhibin Tang, Tiantong He
arXiv 2023. [Paper]
10 May 2023
Relightify: Relightable 3D Faces from a Single Image via Diffusion Models
Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Stefanos Zafeiriou
arXiv 2023. [Paper] [Project]
10 May 2023
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation
Erik Buhmann, Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, William Korcari, Katja Krüger, Peter McKeown
arXiv 2023. [Paper]
8 May 2023
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation
Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum
SIGGRAPH 2023. [Paper]
8 May 2023
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion
Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J Guibas
arXiv 2023. [Paper] [Github]
4 May 2023
Shap-E: Generating Conditional 3D Implicit Functions
Heewoo Jun, Alex Nichol
arXiv 2023. [Paper] [Github]
3 May 2023
ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation
Zehao Zhu, Jiashun Wang, Yuzhe Qin, Deqing Sun, Varun Jampani, Xiaolong Wang
arXiv 2023. [Paper] [Project]
2 May 2023
DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling
Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar
arXiv 2023. [Paper]
2 May 2023
Learning a Diffusion Prior for NeRFs
Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron, Ben Poole
ICLR Workshop 2023. [Paper]
27 Apr 2023
TextMesh: Generation of Realistic 3D Meshes From Text Prompts
Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, Federico Tombari
arXiv 2023. [Paper]
24 Apr 2023
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs
Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa
arXiv 2023. [Paper] [Project] [Github]
20 Apr 2023
Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion
Tomas Jakab, Ruining Li, Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
arXiv 2023. [Paper] [Project]
20 Apr 2023
Anything-3D: Towards Single-view Anything Reconstruction in the Wild
Qiuhong Shen, Xingyi Yang, Xinchao Wang
arXiv 2023. [Paper]
19 Apr 2023
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model
Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali Thabet, Artsiom Sanakoyeu
CVPR 2023. [Paper] [Project] [Github]
17 Apr 2023
Towards Controllable Diffusion Models via Reward-Guided Exploration
Hengtong Zhang, Tingyang Xu
arXiv 2023. [Paper]
14 Apr 2023
Learning Controllable 3D Diffusion Models from Single-view Images
Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh Susskind
arXiv 2023. [Paper] [Project]
13 Apr 2023
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su
arXiv 2023. [Paper] [Project]
13 Apr 2023
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang
arXiv 2023. [Paper] [Project]
12 Apr 2023
InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions
Han Liang, Wenqian Zhang, Wenxuan Li, Jingyi Yu, Lan Xu
arXiv 2023. [Paper] [Github]
12 Apr 2023
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang
arXiv 2023. [Paper] [Project]
12 Apr 2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, Mingyuan Zhou
arXiv 2023. [Paper] [Project]
11 Apr 2023
NeRF applied to satellite imagery for surface reconstruction
Federico Semeraro, Yi Zhang, Wenying Wu, Patrick Carroll
arXiv 2023. [Paper] [Github]
9 Apr 2023
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model
Hoigi Seo, Hayeon Kim, Gwanghyun Kim, Se Young Chun
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6 Apr 2023
Generative Novel View Synthesis with 3D-Aware Diffusion Models
Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein
arXiv 2023. [Paper] [Project]
5 Apr 2023
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany
CVPR 2023. [Paper] [Github]
4 Apr 2023
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
Gwanghyun Kim, Ji Ha Jang, Se Young Chun
arXiv 2023. [Paper] [Project]
4 Apr 2023
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu
arXiv 2023. [Paper] [Project] [Github]
3 Apr 2023
Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models
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arXiv 2023. [Paper]
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DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models
Yukang Cao, Yan-Pei Cao, Kai Han, Ying Shan, Kwan-Yee K. Wong
arXiv 2023. [Paper]
3 Apr 2023
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
Longwen Zhang, Qiwei Qiu, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu
arXiv 2023. [Paper] [Project]
1 Apr 2023
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao
arXiv 2023. [Paper] [Project] [Github]
30 Mar 2023
HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images
Animesh Karnewar, Andrea Vedaldi, David Novotny, Niloy Mitra
CVPR 2023. [Paper] [Project]
29 Mar 2023
4D Facial Expression Diffusion Model
Kaifeng Zou, Sylvain Faisan, Boyang Yu, Sébastien Valette, Hyewon Seo
arXiv 2023. [Paper] [Github]
29 Mar 2023
Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion
Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, Takuya Narihira
arXiv 2023. [Paper] [Project] [Github]
28 Mar 2023
Novel View Synthesis of Humans using Differentiable Rendering
Guillaume Rochette, Chris Russell, Richard Bowden
IEEE T-BIOM 2023. [Paper] [Github]
28 Mar 2023
Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation
Susung Hong, Donghoon Ahn, Seungryong Kim
CVPR Workshop 2023. [Paper]
27 Mar 2023
Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
Junshu Tang, Tengfei Wang, Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, Dong Chen
arXiv 2023. [Paper] [Project] [Github]
24 Mar 2023
ISS++: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
ICLR 2023. [Paper]
24 Mar 2023
CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
Yiqi Lin, Haotian Bai, Sijia Li, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang
arXiv 2023. [Paper] [Project]
24 Mar 2023
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia
arXiv 2023. [Paper] [Project] [Github]
24 Mar 2023
DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video
Ce Zheng, Guo-Jun Qi, Chen Chen
arXiv 2023. [Paper]
23 Mar 2023
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
arXiv 2023. [Paper] [Project]
22 Mar 2023
FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models
Jianglong Ye, Naiyan Wang, Xiaolong Wang
arXiv 2023. [Paper] [Project]
22 Mar 2023
Vox-E: Text-guided Voxel Editing of 3D Objects
Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor
arXiv 2023. [Paper] [Project]
21 Mar 2023
Compositional 3D Scene Generation using Locally Conditioned Diffusion
Ryan Po, Gordon Wetzstein
arXiv 2023. [Paper] [Github]
21 Mar 2023
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao
arXiv 2023. [Paper] [Github]
21 Mar 2023
3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion
Yu-Jhe Li, Kris Kitani
arXiv 2023. [Paper]
21 Mar 2023
Affordance Diffusion: Synthesizing Hand-Object Interactions
Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu
CVPR 2023. [Paper] [Project]
21 Mar 2023
SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation
Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, Minhyuk Sung
arXiv 2023. [Paper] [Project]
21 Mar 2023
Learning a 3D Morphable Face Reflectance Model from Low-cost Data
Yuxuan Han, Zhibo Wang, Feng Xu
CVPR 2023. [Paper] [Project]
21 Mar 2023
Text2Tex: Text-driven Texture Synthesis via Diffusion Models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner
arXiv 2023. [Paper] [Project]
20 Mar 2023
Zero-1-to-3: Zero-shot One Image to 3D Object
Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick
arXiv 2023. [Paper] [Project] [Github]
20 Mar 2023
SKED: Sketch-guided Text-based 3D Editing
Aryan Mikaeili, Or Perel, Daniel Cohen-Or, Ali Mahdavi-Amiri
arxiv 2023. [Paper]
19 Mar 2023
3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
Yuhan Li, Yishun Dou, Xuanhong Chen, Bingbing Ni, Yilin Sun, Yutian Liu, Fuzhen Wang
CVPR 2023. [Paper] [Github]
18 Mar 2023
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation
Lingting Zhu, Xian Liu, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu
CVPR 2023. [Paper] [Github]
16 Mar 2023
Diffusion-HPC: Generating Synthetic Images with Realistic Humans
Zhenzhen Weng, Laura Bravo-Sánchez, Serena Yeung
arXiv 2023. [Paper] [Github]
16 Mar 2023
DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars
David Svitov, Dmitrii Gudkov, Renat Bashirov, Victor Lempitsky
arXiv 2023. [Paper]
16 Mar 2023
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
arXiv 2023. [Paper]
15 Mar 2023
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai
CVPR 2023. [Paper] [Project]
14 Mar 2023
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
ICLR 2023. [Paper] [Project] [Github]
14 Mar 2023
Point Cloud Diffusion Models for Automatic Implant Generation
Paul Friedrich, Julia Wolleb, Florentin Bieder, Florian M. Thieringer, Philippe C. Cattin
arXiv 2023. [Paper]
14 Mar 2023
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim
arXiv 2023. [Paper] [Github]
14 Mar 2023
GECCO: Geometrically-Conditioned Point Diffusion Models
Michał J. Tyszkiewicz, Pascal Fua, Eduard Trulls
arXiv 2023. [Paper]
10 Mar 2023
3DGen: Triplane Latent Diffusion for Textured Mesh Generation
Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, Barlas Oğuz
arXiv 2023. [Paper]
9 Mar 2023
Human Motion Diffusion as a Generative Prior
Yonatan Shafir, Guy Tevet, Roy Kapon, Amit H. Bermano
arXiv 2023. [Paper]
2 Mar 2023
Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?
Hyemin Ahn, Esteve Valls Mascaro, Dongheui Lee
ICRA 2023. [Paper] [Project] [Github]
28 Feb 2023
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
Jamie Wynn, Daniyar Turmukhambetov
CVPR 2023. [Paper] [Github] [Github]
23 Feb 2023
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi
arXiv 2023. [Paper] Project]
23 Feb 2023
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
ICML 2023. [Paper] [Github]
20 Feb 2023
SinMDM: Single Motion Diffusion
Sigal Raab, Inbal Leibovitch, Guy Tevet, Moab Arar, Amit H. Bermano, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
12 Feb 2023
3D Colored Shape Reconstruction from a Single RGB Image through Diffusion
Bo Li, Xiaolin Wei, Fengwei Chen, Bin Liu
arXiv 2023. [Paper]
11 Feb 2023
HumanMAC: Masked Motion Completion for Human Motion Prediction
Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu
arXiv 2023. [Paper] [Project] [Github]
7 Feb 2023
TEXTure: Text-Guided Texturing of 3D Shapes
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
arXiv 2023. [Paper] [Project] [Github]
3 Feb 2023
Zero3D: Semantic-Driven Multi-Category 3D Shape Generation
Bo Han, Yitong Liu, Yixuan Shen
arXiv 2023. [Paper]
31 Jan 2023
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Ruihui Li, Chi-Wing Fu
SIGGRAPH ASIA 2023. [Paper] [Github]
1 Feb 2023
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
Biao Zhang, Jiapeng Tang, Matthias Niessner, Peter Wonka
SIGGRAPH 2023. [Paper] [Github] [Github]
26 Jan 2023
DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model
Fan Zhang, Naye Ji, Fuxing Gao, Yongping Li
arXiv 2023. [Paper]
24 Jan 2023
Bipartite Graph Diffusion Model for Human Interaction Generation
Baptiste Chopin, Hao Tang, Mohamed Daoudi
arXiv 2023. [Paper]
24 Jan 2023
Diffusion-based Generation, Optimization, and Planning in 3D Scenes
Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, Song-Chun Zhu
arXiv 2023. [Paper] [Project] [Github]
15 Jan 2023
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models
Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, Nicu Sebe
arXiv 2023. [Paper]
10 Jan 2023
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
Jumin Lee, Woobin Im, Sebin Lee, Sung-Eui Yoon
arXiv 2023. [Paper] [Github]
2 Jan 2023
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao
CVPR 2023. [Paper] [Project]
28 Dec 2022
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, Mark Chen
arXiv 2022. [Paper] [Github]
16 Dec 2022
Real-Time Rendering of Arbitrary Surface Geometries using Learnt Transfer
Sirikonda Dhawal, Aakash KT, P.J. Narayanan
ICVGIP 2022. [Paper]
19 Dec 2022
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
Ziyi Chang, Edmund J. C. Findlay, Haozheng Zhang, Hubert P. H. Shum
arXiv 2022. [Paper]
16 Dec 2022
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo
arXiv 2022. [Paper] [Project]
12 Dec 2022
Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models
Jiabao Lei, Jiapeng Tang, Kui Jia
CVPR 2023. [Paper] [Project] [Github]
12 Dec 2022
Ego-Body Pose Estimation via Ego-Head Pose Estimation
Jiaman Li, C. Karen Liu, Jiajun Wu
CVPR 2023. [Paper]
9 Dec 2022
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt
CVPR 2023. [Paper] [Project]
8 Dec 2022
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander Schwing, Liangyan Gui
CVPR 2023. [Paper] [Project]
8 Dec 2022
Executing your Commands via Motion Diffusion in Latent Space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
CVPR 2023. [Paper] [Project] [Github]
8 Dec 2022
Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation
Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Xiu Li
arXiv 2022. [Paper]
7 Dec 2022
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
Congyue Deng, Chiyu "Max'' Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov
arXiv 2022. [Paper]
6 Dec 2022
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion
Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu
CVPR 2023. [Paper] [Github]
6 Dec 2022
Pretrained Diffusion Models for Unified Human Motion Synthesis
Jianxin Ma, Shuai Bai, Chang Zhou
arXiv 2022. [Paper] [Project]
6 Dec 2022
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model
Jeongjun Choi, Dongseok Shim, H. Jin Kim
arXiv 2022. [Paper]
6 Dec 2022
PhysDiff: Physics-Guided Human Motion Diffusion Model
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz
arXiv 2022. [Paper] [Project]
5 Dec 2022
Fast Point Cloud Generation with Straight Flows
Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
arXiv 2022. [Paper]
4 Dec 2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner
CVPR 2023. [Paper] [Project]
2 Dec 2022
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models
Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, Paul Guerrero
arXiv 2022. [Paper]
1 Dec 2022
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich
CVPR 2023. [Paper] [Project]
1 Dec 2022
SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction
Zhizhuo Zhou, Shubham Tulsiani
CVPR 2023. [Paper] [Project] [Github]
1 Dec 2022
3D Neural Field Generation using Triplane Diffusion
J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein
arXiv 2022. [Paper] [Project]
30 Nov 2022
DiffPose: Toward More Reliable 3D Pose Estimation
Jia Gong, Lin Geng Foo, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu
CVPR 2023. [Paper] [Github]
30 Nov 2022
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models
Karl Holmquist, Bastian Wandt
arXiv 2022. [Paper] [Github]
29 Nov 2022
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
Gwanghyun Kim, Se Young Chun
CVPR 2023. [Paper] [Github]
29 Nov 2022
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views
Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
arXiv 2022. [Paper] [Project] [Github]
29 Nov 2022
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion
Kui Zhang, Hang Zhou, Jie Zhang, Qidong Huang, Weiming Zhang, Nenghai Yu
arXiv 2022. [Paper]
29 Nov 2022
UDE: A Unified Driving Engine for Human Motion Generation
Zixiang Zhou, Baoyuan Wang
arXiv 2022. [Paper] [Project] [Github]
29 Nov 2022
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models
Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao
arXiv 2022. [Paper]
25 Nov 2022
DiffusionSDF: Conditional Generative Modeling of Signed Distance Functions
Gene Chou, Yuval Bahat, Felix Heide
arXiv 2022. [Paper] [Github]
24 Nov 2022
Tetrahedral Diffusion Models for 3D Shape Generation
Nikolai Kalischek, Torben Peters, Jan D. Wegner, Konrad Schindler
arXiv 2022. [Paper]
23 Nov 2022
IC3D: Image-Conditioned 3D Diffusion for Shape Generation
Cristian Sbrolli, Paolo Cudrano, Matteo Frosi, Matteo Matteucci
arXiv 2022. [Paper]
20 Nov 2022
Listen, denoise, action! Audio-driven motion synthesis with diffusion models
Simon Alexanderson, Rajmund Nagy, Jonas Beskow, Gustav Eje Henter
arXiv 2022. [Paper]
17 Nov 2022
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Titas Anciukevičius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero
CVPR 2023. [Paper] [Github]
17 Nov 2022
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or
arXiv 2022. [Paper] [Github]
14 Nov 2022
ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction
Gyumin Shim, Minsoo Lee, Jaegul Choo
ACM 2022. [Paper]
9 Nov 2022
StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects
Weiyu Liu, Tucker Hermans, Sonia Chernova, Chris Paxton
RSS 2023. [Paper]
8 Nov 2022
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model
Zhiyuan Ren, Zhihong Pan, Xin Zhou, Le Kang
ICASSP 2023. [Paper]
22 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis
NeurIPS 2022. [Paper] [Project]
12 Oct 2022
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu
AAAI 2023. [Paper]
12 Oct 2022
A generic diffusion-based approach for 3D human pose prediction in the wild
Saeed Saadatnejad, Ali Rasekh, Mohammadreza Mofayezi, Yasamin Medghalchi, Sara Rajabzadeh, Taylor Mordan, Alexandre Alahi
ICRA 2023. [Paper]
11 Oct 2022
Novel View Synthesis with Diffusion Models
Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
ICLR 2023. [Paper]
6 Oct 2022
Neural Volumetric Mesh Generator
Yan Zheng, Lemeng Wu, Xingchao Liu, Zhen Chen, Qiang Liu, Qixing Huang
NeurIPS Workshop 2022. [Paper]
6 Oct 2022
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis
Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang, Hubert P. H. Shum
ICLR 2023. [Paper]
29 Sep 2022
Human Motion Diffusion Model
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Amit H. Bermano, Daniel Cohen-Or
arXiv 2022. [Paper] [Project]
29 Sep 2022
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu
ICLR 2023. [Paper] [Github]
9 Sep 2022
SE(3)-DiffusionFields: Learning cost functions for joint grasp and motion optimization through diffusion
Julen Urain, Niklas Funk, Georgia Chalvatzaki, Jan Peters
arXiv 2022. [Paper] [Github]
8 Sep 2022
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data
Mao Ye, Lemeng Wu, Qiang Liu
NeruIPS 2022. [Paper]
2 Sep 2022
FLAME: Free-form Language-based Motion Synthesis & Editing
Jihoon Kim, Jiseob Kim, Sungjoon Choi
AAAI 2023. [Paper]
1 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
NeurIPS Workshop 2022. [Paper]
31 Aug 2022
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, Ziwei Liu
arXiv 2022. [Paper] [Project]
31 Aug 2022
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
Dominik J. E. Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
arXiv 2022. [Paper]
30 Aug 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition
Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao
arXiv 2022. [Paper]
21 Aug 2022
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin
ICLR 2022. [Paper] [Github]
7 Dec 2021
Score-Based Point Cloud Denoising
Shitong Luo, Wei Hu
ICCV 2021. [Paper] [Github]
23 Jul 2021
DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras
Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu
ECCV 2022. [Paper] [Project] [Github]
16 Jul 2022
3D Shape Generation and Completion through Point-Voxel Diffusion
Linqi Zhou, Yilun Du, Jiajun Wu
ICCV 2021. [Paper] [Project]
8 Apr 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo, Wei Hu
CVPR 2021. [Paper] [Github]
2 Mar 2021
Adversarial Attack
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models
Minxing Zhang, Ning Yu, Rui Wen, Michael Backes, Yang Zhang
arXiv 2023. [Paper]
30 Oct 2023
Adversarial Examples Are Not Real Features
Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang
NeurIPS 2023. [Paper]
29 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness
Boya Zhang, Weijian Luo, Zhihua Zhang
arXiv 2023. [Paper]
28 Oct 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
Sangwoong Yoon, Young-Uk Jin, Yung-Kyun Noh, Frank C. Park
arXiv 2023. [Paper]
28 Oct 2023
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data
Clement Fung, Chen Qiu, Aodong Li, Maja Rudolph
arXiv 2023. [Paper]
16 Oct 2023
Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models
Renyang Liu, Wei Zhou, Tianwei Zhang, Kangjie Chen, Jun Zhao, Kwok-Yan Lam
arXiv 2023. [Paper]
11 Oct 2023
Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE
Marius Arvinte, Cory Cornelius, Jason Martin, Nageen Himayat
arXiv 2023. [Paper]
10 Oct 2023
Understanding and Improving Adversarial Attacks on Latent Diffusion Model
Boyang Zheng, Chumeng Liang, Xiaoyu Wu, Yan Liu
arXiv 2023. [Paper]
7 Oct 2023
Semantic Adversarial Attacks via Diffusion Models
Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew Stamm, Kaidi Xu
arXiv 2023. [Paper]
14 Sep 2023
Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking
Weitao Feng, Jiyan He, Jie Zhang, Tianwei Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu
arXiv 2023. [Paper]
12 Sep 2023
Diff-Privacy: Diffusion-based Face Privacy Protection
Xiao He, Mingrui Zhu, Dongxin Chen, Nannan Wang, Xinbo Gao
arXiv 2023. [Paper]
11 Sep 2023
DiffDefense: Defending against Adversarial Attacks via Diffusion Models
Hondamunige Prasanna Silva, Lorenzo Seidenari, Alberto Del Bimbo
arXiv 2023. [Paper] [Github]
7 Sep 2023
My Art My Choice: Adversarial Protection Against Unruly AI
Anthony Rhodes, Ram Bhagat, Umur Aybars Ciftci, Ilke Demir
arXiv 2023. [Paper]
6 Sep 2023
Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration
Fengfan Zhou
arXiv 2023. [Paper]
4 Sep 2023
Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models
Takami Sato, Justin Yue, Nanze Chen, Ningfei Wang, Qi Alfred Chen
arXiv 2023. [Paper]
30 Aug 2023
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing
Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li
USENIX Security 2023. [Paper]
28 Aug 2023
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models
Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
arXiv 2023. [Paper]
23 Aug 2023
White-box Membership Inference Attacks against Diffusion Models
Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, Yang Zhang
arXiv 2023. [Paper]
11 Aug 2023
BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models
Jordan Vice, Naveed Akhtar, Richard Hartley, Ajmal Mian
arXiv 2023. [Paper] [Github] [[Dataset](https://ieee-datapo
⚠️ Incomplete Data
Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.
View Original Source →📝 Limitations & Considerations
- • Benchmark scores may vary based on evaluation methodology and hardware configuration.
- • VRAM requirements are estimates; actual usage depends on quantization and batch size.
- • FNI scores are relative rankings and may change as new models are added.
- ⚠ License Unknown: Verify licensing terms before commercial use.
AI Summary: Based on GitHub metadata. Not a recommendation.
🛡️ Model Transparency Report
Technical metadata sourced from upstream repositories.
🆔 Identity & Source
- id
- gh-tool--diff-usion--awesome-diffusion-models
- slug
- diff-usion--awesome-diffusion-models
- source
- github
- author
- Diff Usion
- license
- MIT
- tags
- diffusion-models, generative-model, machine-learning, score-matching, artificial-intelligence, score-based, html
⚙️ Technical Specs
- architecture
- null
- params billions
- null
- context length
- null
- pipeline tag
- other
📊 Engagement & Metrics
- downloads
- 0
- stars
- 0
- forks
- 0
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