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Diffusion models (DM) have achieved remarkable promise in image super-resolution (SR).
Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Xintao Wang, Liangbin Xie, Chao Dong, and Ying Shan · 1914
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A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
David Martin, Charless Fowlkes, Jitendra Malik, and Doron Tal · 2001
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Low-complexity single-image super-resolution based on non-negative neighbour embedding
Marco Bevilacqua, Aline Roumy, Christine Guillemot, and Marie-Line Alberi Morel · 2012
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2015
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Image super-resolution using deep convolutional networks
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Ba Jimmy · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, and Thomas Unterthiner · 2017
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Ntire 2017 challenge on single image super-resolution: Methods and results
David Martin, Charless Fowlkes, Jitendra Malik, and Doron Tal · 2017
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“zero-shot” super-resolution using deep internal learning
Assaf Shocher, Nadav Cohen, and Michal Irani · 2018
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Esrgan: Enhanced super-resolution generative adversarial networks
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, and Xiaoou Tang · 2018
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Blind super-resolution kernel estimation using an internal-gan
Sefi Bell-Kligler, Assaf Shocher, and Michal Irani · 2019
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Toward real-world single image super-resolution: A new benchmark and a new model
Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, and Lei Zhang · 2019
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Blind super-resolution with iterative kernel correction
Jinjin Gu, Hannan Lu, Wangmeng Zuo, and Chao Dong · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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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
Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, and Tieniu Tan · 2020
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Deep unfolding network for image super-resolution
Kai Zhang, Luc Van Gool, and Radu Timofte · 2020
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Tackling the ill-posedness of super-resolution through adaptive target generation
Younghyun Jo, Seoung Wug Oh, Peter Vajda, and Seon Joo Kim · 2021
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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 · 2021
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Spectrum-to-kernel translation for accurate blind image super-resolution
Guangpin Tao, Xiaozhong Ji, Wenzhuo Wang, Shuo Chen, Chuming Lin, Yun Cao, Tong Lu, Donghao Luo, and Ying Tai · 2021
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Bjórn Ommer · 2022
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Zero-shot image restoration using denoising diffusion null-space model
Yinhuai Wang, Jiwen Yu, and Jian Zhang · 2022
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Blind image super-resolution with elaborate degradation modeling on noise and kernel
zhongheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, and Kwan-Yee K. Meng, Deyu amd Wong · 2022
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Restormer: Efficient transformer for high-resolution image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang · 2022
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Cited alongside, same era.
Multi-stage progressive image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Shao Ling · 2021
Cited alongside, same era.
Designing a practical degradation model for deep blind image super-resolution
Kai Zhang, Jingyun Liang, Luc Van Gool, and Radu Timofte · 2021
Cited alongside, same era.
Improving diffusion models for inverse problems using manifold constraints
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, and Jong Chul Ye · 2022
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Uncertainty learning in kernel estimation for multi-stage blind image super-resolution
Zhenxuan Fang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, and Guangming Shi · 2022
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Kxnet: A model-driven deep neural network for blind super-resolution
Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, and Zongben Xu · 2022
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Feature distillation interaction weighting network for lightweight image super-resolution
Guangwei Gao, Wenjie Li, Juncheng Li, Fei Wu, Huimin Lu, and Yi Yu · 2022
Cited alongside, same era.
Xiangyu Chen, Xintao Wang, Jiantao Zhou, Yu Qiao, and Chao Dong · 2023
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Frido: Feature pyramid diffusion for complex scene image synthesis
Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, and Yu-Chiang Frank Wang · 2023
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Generative diffusion prior for unified image restoration and enhancement
Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, and Bo Dai · 2023
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Learning detail-structure alternative optimization for blind super-resolution
Feng Li, Yixuan Wu, Huihui Bai, Weisi Lin, Runmin Cong, and Yao Zhao · 2023
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Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2023
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Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network
Jie Wu, Runmin Cong, Leyuan Fang, Chunle Guo, Bob Zhang, and Pedram Ghamisi · 2023
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Kernel distillation based degradation estimation for blind super-resolution
Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, and Luc Van Gool · 2023
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Learning correction filter via degradation-adaptive regression for blind single image super-resolution
Hongyang Zhou, Xiaobin Zhu, Jianqing Zhu, Zheng Han, Shi-Xue Zhang, Jingyan Qin, and Xu-Cheng Yin · 2023
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Denoising diffusion models for plug-and-play image restoration
Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, and Luc Van Gool · 2023
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