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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding paper by Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. S. Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
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Paper

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

by Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. S. Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi 2205.11487
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65.1
S: Semantic 50

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A: Authority 95
P: Popularity 79
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding. Imagen builds on the power of large transformer language models in understanding text and hinges on the strength of diffusion models in high-fidelity image generation. Our key discovery is that generic large language models (e.g. T5), pretrained on text-only corpora, are surprisingly effective at encoding text for image synthesis: increasing the size of t...

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Registry ID 2205.11487
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BibTeX 
@misc{arxiv_2205_11487,
  author = {Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. S. Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi},
  title = {Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Paper},
  howpublished = {\url{https://arxiv.org/abs/2205.11487}},
  note = {Accessed via Free2AITools.}
}
APA Style
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. S. Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi. Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding [Paper]. Free2AITools. https://arxiv.org/abs/2205.11487

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βš–οΈ Free2AITools Nexus Index V2.0

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Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 95
Popularity (P) 79
Recency (R) 100
Quality (Q) 65

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FNI V2.0 for Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding: Authority (A:95), Popularity (P:79), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding. Imagen builds on the power of large transformer language models in understanding text and hinges on the strength of diffusion models in high-fidelity image generation. Our key discovery is that generic large language models (e.g. T5), pretrained on text-only corpora, are surprisingly effective at encoding text for image synthesis: increasing the size of t..."

❝ Cite Node 

@article{SahariaPhotorealistic,
  title={Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding},
  author={Chitwan Saharia and William Chan and Saurabh Saxena and Lala Li and Jay Whang and Emily L. Denton and Seyed Kamyar Seyed Ghasemipour and Burcu Karagol Ayan and S. S. Mahdavi and Raphael Gontijo Lopes and Tim Salimans and Jonathan Ho and David J. Fleet and Mohammad Norouzi},
  journal={arXiv preprint arXiv:2205.11487}
}

πŸ‘₯ Collaborating Minds

Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang Emily L. Denton Seyed Kamyar Seyed Ghasemipour Burcu Karagol Ayan S. S. Mahdavi Raphael Gontijo Lopes Tim Salimans Jonathan Ho David J. Fleet Mohammad Norouzi

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πŸ“ˆ7,630CitationsSemantic Scholar
πŸ›οΈ95AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
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🏷️ Research Topics

transformer architectureimage generation
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2205.11487
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2205.11487
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semantic_scholar
author
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. S. Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
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