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Denoising diffusion models have recently shown impressive results in generative tasks.
An iterative regularization method for total variation-based image restoration
Stanley Osher, Martin Burger, Donald Goldfarb, Jinjun Xu, and Wotao Yin · 2005
Earlier work this paper cites.
Image denoising by sparse 3-d transform-domain collaborative filtering
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2007
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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 · 2009
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Image sensors and signal processing for digital still cameras
Junichi Nakamura · 2017
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Benchmarking denoising algorithms with real photographs
Tobias Plotz and Stefan Roth · 2017
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Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
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A high-quality denoising dataset for smartphone cameras
Abdelrahman Abdelhamed, Stephen Lin, and Michael S Brown · 2018
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Renoir–a dataset for real low-light image noise reduction
Josue Anaya and Adrian Barbu · 2018
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The perception-distortion tradeoff
Yochai Blau and Tomer Michaeli · 2018
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Learning to see in the dark
Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun · 2018
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Noise2noise: Learning image restoration without clean data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, and Timo Aila · 2018
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Burst denoising with kernel prediction networks
Ben Mildenhall, Jonathan T Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, and Robert Carroll · 2018
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Ffdnet: Toward a fast and flexible solution for CNN based image denoising
Kai Zhang, Wangmeng Zuo, and Lei Zhang · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
Noise2self: Blind denoising by self-supervision
Joshua Batson and Loic Royer · 2019
Cited alongside, same era.
Unprocessing images for learned raw denoising
Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, and Jonathan T Barron · 2019
Cited alongside, same era.
Spatial-adaptive network for single image denoising
Meng Chang, Qi Li, Huajun Feng, and Zhihai Xu · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Noisier2noise: Learning to denoise from unpaired noisy data
Nick Moran, Dan Schmidt, Yu Zhong, and Patrick Coady · 2020
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 Ling Shao · 2021
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Simple baselines for image restoration
Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, and Jian Sun · 2022
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Denoising diffusion restoration models
Bahjat Kawar, Michael Elad, Stefano Ermon, and Jiaming Song · 2022
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Dancing under the stars: video denoising in starlight
Kristina Monakhova, Stephan R Richter, Laura Waller, and Vladlen Koltun · 2022
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Nan: Noise-aware nerfs for burst-denoising
Naama Pearl, Tali Treibitz, and Simon Korman · 2022
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Day-to-night image synthesis for training nighttime neural isps
Abhijith Punnappurath, Abdullah Abuolaim, Abdelrahman Abdelhamed, Alex Levinshtein, and Michael S Brown · 2022
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Gan-based noise model for denoising real images
Linh Duy Tran, Son Minh Nguyen, and Masayuki Arai · 2020
Cited alongside, same era.
A physics-based noise formation model for extreme low-light raw denoising
Kaixuan Wei, Ying Fu, Jiaolong Yang, and Hua Huang · 2020
Cited alongside, same era.
Hinet: Half instance normalization network for image restoration
Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, and Chengpeng Chen · 2021
Cited alongside, same era.
Diffusion models beat GANs on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
Cited alongside, same era.
Neighbor2neighbor: Self-supervised denoising from single noisy images
Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, and Jianzhuang Liu · 2021
Cited alongside, same era.
Stochastic image denoising by sampling from the posterior distribution
Bahjat Kawar, Gregory Vaksman, and Michael Elad · 2021
Cited alongside, same era.
Later among the works it cites.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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Palette: Image-to-image diffusion models
Chitwan Saharia, William Chan, Huiwen Chang, Chris Lee, Jonathan Ho, Tim Salimans, David Fleet, and Mohammad Norouzi · 2022
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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, et al · 2022
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Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2022
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Idr: Self-supervised image denoising via iterative data refinement
Yi Zhang, Dasong Li, Ka Lung Law, Xiaogang Wang, Hongwei Qin, and Hongsheng Li · 2022
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Image denoising: The deep learning revolution and beyond–a survey paper–
Michael Elad, Bahjat Kawar, and Gregory Vaksman · 2023
Closest in time.
Diffusion model for generative image denoising
Yutong Xie, Minne Yuan, Bin Dong, and Quanzheng Li · 2023
Closest in time.