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How to aggregate spatial information plays an essential role in learning-based image restoration.
Nonlinear total variation based noise removal algorithms
Leonid I. Rudin, Stanley Osher, and Emad Fatemi · 1992
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Noise removal via bayesian wavelet coring
Eero P. Simoncelli and Edward H. Adelson · 1996
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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, Doron Tal, and Jitendra Malik · 2001
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A non-local algorithm for image denoising
Antoni Buades, Bartomeu Coll, and J-M Morel · 2005
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K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation
Michal Aharon, Michael Elad, and Alfred Bruckstein · 2006
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K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation
Michal Aharon, Michael Elad, and Alfred M. Bruckstein · 2006
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Image denoising via sparse and redundant representations over learned dictionaries
Michael Elad and Michal Aharon · 2006
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Image denoising by sparse 3-D transform-domain collaborative filtering
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2007
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Sparse representation for color image restoration
Julien Mairal, Michael Elad, and Guillermo Sapiro · 2007
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Fields of experts
Stefan Roth and Michael J Black · 2009
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Color demosaicking by local directional interpolation and nonlocal adaptive thresholding
Lei Zhang, Xiaolin Wu, Antoni Buades, and Xin Li · 2011
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From learning models of natural image patches to whole image restoration
Daniel Zoran and Yair Weiss · 2011
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Image denoising: Can plain neural networks compete with BM3D?
Harold C Burger, Christian J Schuler, and Stefan Harmeling · 2012
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Weighted nuclear norm minimization with application to image denoising
Shuhang Gu, Lei Zhang, Wangmeng Zuo, and Xiangchu Feng · 2014
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Single image super-resolution from transformed self-exemplars
Jia-Bin Huang, Abhishek Singh, and Narendra Ahuja · 2015
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Just noticeable defocus blur detection and estimation
Jianping Shi, Li Xu, and Jiaya Jia · 2015
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Kernel-predicting convolutional networks for denoising monte carlo renderings
Steve Bako, Thijs Vogels, Brian McWilliams, Mark Meyer, Jan Novák, Alex Harvill, Pradeep Sen, Tony DeRose, and Fabrice Rousselle · 2017
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Clearing the skies: A deep network architecture for single-image rain removal
Xueyang Fu, Jiabin Huang, Xinghao Ding, Yinghao Liao, and John Paisley · 2017
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Removing rain from single images via a deep detail network
Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, and John Paisley · 2017
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Edge-based defocus blur estimation with adaptive scale selection
Ali Karaali and Claudio Rosito Jung · 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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Learning deep cnn denoiser prior for image restoration
Kai Zhang, Wangmeng Zuo, Shuhang Gu, 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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Recurrent squeeze-and-excitation context aggregation net for single image deraining
Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, and Hongbin Zha · 2018
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Non-local recurrent network for image restoration
Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, and Thomas S Huang · 2018
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When image denoising meets high-level vision tasks: A deep learning approach
Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, and Thomas S. Huang · 2018
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Multi-level wavelet-cnn for image restoration
Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, and Wangmeng Zuo · 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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Neural nearest neighbors networks
Tobias Plötz and Stefan Roth · 2018
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Density-aware single image de-raining using a multi-stream dense network
He Zhang and Vishal M Patel · 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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Image super-resolution using very deep residual channel attention networks
Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, and Yun Fu · 2018
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NTIRE 2019 challenge on real image denoising: Methods and results
Abdelrahman Abdelhamed, Radu Timofte, and Michael S Brown · 2019
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Real image denoising with feature attention
Saeed Anwar and Nick Barnes · 2019
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Pre-trained image processing transformer
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, and Wen Gao · 2021
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NBNet: noise basis learning for image denoising with subspace projection
Shen Cheng, Yuzhi Wang, Haibin Huang, Donghao Liu, Haoqiang Fan, and Shuaicheng Liu · 2021
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Rethinking coarse-to-fine approach in single image deblurring
Sung-Jin Cho, Seo-Won Ji, Jun-Pyo Hong, Seung-Won Jung, and Sung-Jea Ko · 2021
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Kodak lossless true color image suite
Rich Franzen · 2021
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Iterative filter adaptive network for single image defocus deblurring
Junyong Lee, Hyeongseok Son, Jaesung Rim, Sunghyun Cho, and Seungyong Lee · 2021
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SwinIR: Image restoration using swin transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte · 2021
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NTIRE 2019 challenge on real image super-resolution: Methods and results
Jianrui Cai, Shuhang Gu, Radu Timofte, and Lei Zhang · 2019
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Self-guided network for fast image denoising
Shuhang Gu, Yawei Li, Luc Van Gool, and Radu Timofte · 2019
Cited alongside, same era.
Toward convolutional blind denoising of real photographs
Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, and Lei Zhang · 2019
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Squeeze-and-excitation networks
Jie Hu, Li Shen, Samuel Albanie, Gang Sun, and Enhua Wu · 2019
Cited alongside, same era.
Focnet: A fractional optimal control network for image denoising
Xixi Jia, Sanyang Liu, Xiangchu Feng, and Lei Zhang · 2019
Cited alongside, same era.
Deep defocus map estimation using domain adaptation
Junyong Lee, Sungkil Lee, Sunghyun Cho, and Seungyong Lee · 2019
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Dynamic attentive graph learning for image restoration
Chong Mou, Jian Zhang, and Zhuoyuan Wu · 2021
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Ntire 2021 challenge on image deblurring
Seungjun Nah, Sanghyun Son, Suyoung Lee, Radu Timofte, and Kyoung Mu Lee · 2021
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Spatially-adaptive image restoration using distortion-guided networks
Kuldeep Purohit, Maitreya Suin, AN Rajagopalan, and Vishnu Naresh Boddeti · 2021
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Adaptive consistency prior based deep network for image denoising
Chao Ren, Xiaohai He, Chuncheng Wang, and Zhibo Zhao · 2021
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Single image defocus deblurring using kernel-sharing parallel atrous convolutions
Hyeongseok Son, Junyong Lee, Sunghyun Cho, and Seungyong Lee · 2021
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Uformer: A general u-shaped transformer for image restoration
Zhendong Wang, Xiaodong Cun, Jianmin Bao, and Jianzhuang Liu · 2021
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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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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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Plug-and-play image restoration with deep denoiser prior
Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, and Radu Timofte · 2021
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Rethinking noise synthesis and modeling in raw denoising
Yi Zhang, Hongwei Qin, Xiaogang Wang, and Hongsheng Li · 2021
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Simple baselines for image restoration
Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, and Jian Sun · 2022
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Scaling up your kernels to 31x31: Revisiting large kernel design in cnns
Xiaohan Ding, Xiangyu Zhang, Yizhuang Zhou, Jungong Han, Guiguang Ding, and Jian Sun · 2022
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On the connection between local attention and dynamic depth-wise convolution
Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, and Jingdong Wang · 2022
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Dynamic neural networks: A survey
Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, and Yulin Wang · 2022
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Fast and high-quality image denoising via malleable convolutions
Yifan Jiang, Bart Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, and Tianfan Xue · 2022
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No attention is needed: Grouped spatial-temporal shift for simple and efficient video restorers
Dasong Li, Xiaoyu Shi, Yi Zhang, Xiaogang Wang, Hongwei Qin, and Hongsheng Li · 2022
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Learning degradation representations for image deblurring
Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, and Hongsheng Li · 2022
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Efficient burst raw denoising with variance stabilization and multi-frequency denoising network
Dasong Li, Yi Zhang, Ka Lung Law, Xiaogang Wang, Hongwei Qin, and Hongsheng Li · 2022
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A convnet for the 2020s
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, and Saining Xie · 2022
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Maxim: Multi-axis mlp for image processing
Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, and Yinxiao Li · 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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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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