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We introduce SUPIR (Scaling-UP Image Restoration), a groundbreaking image restoration method that harnesses generative prior and the power of model scaling up.
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Group normalization
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Blind super-resolution with iterative kernel correction
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Tero Karras, Samuli Laine, and Timo Aila · 2019
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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Residual non-local attention networks for image restoration
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Semantic photo manipulation with a generative image prior
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
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Neural sparse representation for image restoration
Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, and Thomas S Huang · 2020
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Pipal: a large-scale image quality assessment dataset for perceptual image restoration
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Unfolding the alternating optimization for blind super resolution
Yan Huang, Shang Li, Liang Wang, Tieniu Tan, et al · 2020
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Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020
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Classifier-free diffusion guidance
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Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
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Denoising diffusion restoration models
Bahjat Kawar, Michael Elad, Stefano Ermon, and Jiaming Song · 2022
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Reflash dropout in image super-resolution
Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, and Chao Dong · 2022
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Efficient and degradation-adaptive network for real-world image super-resolution
Jie Liang, Hui Zeng, and Lei Zhang · 2022
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Blind image super-resolution: A survey and beyond
Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, and Chao Dong · 2022
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A Lugmayr, M Danelljan, L Van Gool, and R Timofte · 2020
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Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, and Cynthia Rudin · 2020
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
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Component divide-and-conquer for real-world image super-resolution
Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, and Liang Lin · 2020
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Residual dense network for image restoration
Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, and Yun Fu · 2020
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Kelvin CK Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, and Chen Change Loy · 2021
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Ilvr: Conditioning method for denoising diffusion probabilistic models
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Hierarchical text-conditional image generation with clip latents
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Laion-5b: An open large-scale dataset for training next generation image-text models
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Zero-shot image restoration using denoising diffusion null-space model
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Maniqa: Multi-dimension attention network for no-reference image quality assessment
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Rethinking deep face restoration
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Towards robust blind face restoration with codebook lookup transformer
Shangchen Zhou, Kelvin Chan, Chongyi Li, and Chen Change Loy · 2022
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Disentangled inference for gans with latently invertible autoencoder
Jiapeng Zhu, Deli Zhao, Bo Zhang, and Bolei Zhou · 2022
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https://data.vision.ee.ethz.ch/yawli/index.html , 2023
Lsdir dataset: A large scale dataset for image restoration · 2023
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Deepfloyd inference framework
DeepFloyd · 2023
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Networks are slacking off: Understanding generalization problem in image deraining
Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, and Chao Dong · 2023
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Scaling up gans for text-to-image synthesis
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, and Taesung Park · 2023
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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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, and Chao Dong · 2023
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Sdxl: Improving latent diffusion models for high-resolution image synthesis
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Internlm: A multilingual language model with progressively enhanced capabilities
InternLM Team · 2023
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Llama: Open and efficient foundation language models
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Raphael: Text-to-image generation via large mixture of diffusion paths
Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, and Ping Luo · 2023
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Pixel-aware stable diffusion for realistic image super-resolution and personalized stylization
Tao Yang, Peiran Ren, Xuansong Xie, and Lei Zhang · 2023
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