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Image restoration tasks demand a complex balance between spatial details and high-level contextualized information while recovering images.
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Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2007
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High-quality motion deblurring from a single image
Qi Shan, Jiaya Jia, and Aseem Agarwala · 2008
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Single-image super-resolution using sparse regression and natural image prior
Kwang In Kim and Younghee Kwon · 2010
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Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization
Weisheng Dong, Lei Zhang, Guangming Shi, and Xiaolin Wu · 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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Non-uniform deblurring for shaken images
Oliver Whyte, Josef Sivic, Andrew Zisserman, and Jean Ponce · 2012
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Dynamic scene deblurring
Tae Hyun Kim, Byeongjoo Ahn, and Kyoung Mu Lee · 2013
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Unnatural l0 sparse representation for natural image deblurring
Li Xu, Shicheng Zheng, and Jiaya Jia · 2013
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Deblurring low-light images with light streaks
Zhe Hu, Sunghyun Cho, Jue Wang, and Ming-Hsuan Yang · 2014
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Diederik P Kingma and Jimmy Ba · 2014
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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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ParseNet: Looking wider to see better
Wei Liu, Andrew Rabinovich, and Alexander C Berg · 2015
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Removing rain from a single image via discriminative sparse coding
Yu Luo, Yong Xu, and Hui Ji · 2015
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U-Net: convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Rain streak removal using layer priors
Yu Li, Robby T Tan, Xiaojie Guo, Jiangbo Lu, and Michael S Brown · 2016
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Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
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Deconvolution and checkerboard artifacts
Augustus Odena, Vincent Dumoulin, and Chris Olah · 2016
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Blind image deblurring using dark channel prior
Jinshan Pan, Deqing Sun, Hanspeter Pfister, and Ming-Hsuan Yang · 2016
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Multi-scale context aggregation by dilated convolutions
Fisher Yu and Vladlen Koltun · 2016
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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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From motion blur to motion flow: a deep learning solution for removing heterogeneous motion blur
Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian Reid, Chunhua Shen, Anton Van Den Hengel, and Qinfeng Shi · 2017
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
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SGDR: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2017
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Deep multi-scale convolutional neural network for dynamic scene deblurring
Seungjun Nah, Tae Hyun Kim, and Kyoung Mu Lee · 2017
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Benchmarking denoising algorithms with real photographs
Tobias Plotz and Stefan Roth · 2017
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Image super-resolution using dense skip connections
Tong Tong, Gen Li, Xiejie Liu, and Qinquan Gao · 2017
Dynamic scene deblurring with parameter selective sharing and nested skip connections
Hongyun Gao, Xin Tao, Xiaoyong Shen, and Jiaya Jia · 2019
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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
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CCNet: Criss-cross attention for semantic segmentation
Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, and Wenyu Liu · 2019
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DeblurGAN-v2: Deblurring (orders-of-magnitude) faster and better
Orest Kupyn, Tetiana Martyniuk, Junru Wu, and Zhangyang Wang · 2019
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Rethinking on multi-stage networks for human pose estimation
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Deep joint rain detection and removal from a single image
Wenhan Yang, Robby T Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, and Shuicheng Yan · 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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Learning to see in the dark
Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun · 2018
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Cascaded pyramid network for multi-person pose estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun · 2018
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Wenbo Li, Zhicheng Wang, Binyi Yin, Qixiang Peng, Yuming Du, Tianzi Xiao, Gang Yu, Hongtao Lu, Yichen Wei, and Jian Sun · 2019
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Progressive image deraining networks: A better and simpler baseline
Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, and Deyu Meng · 2019
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Human-aware motion deblurring
Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, and Ling Shao · 2019
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Semi-supervised transfer learning for image rain removal
Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, and Ying Wu · 2019
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Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining
Rajeev Yasarla and Vishal M Patel · 2019
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Variational denoising network: Toward blind noise modeling and removal
Zongsheng Yue, Hongwei Yong, Qian Zhao, Deyu Meng, and Lei Zhang · 2019
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Deep stacked hierarchical multi-patch network for image deblurring
Hongguang Zhang, Yuchao Dai, Hongdong Li, and Piotr Koniusz · 2019
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Image de-raining using a conditional generative adversarial network
He Zhang, Vishwanath Sindagi, and Vishal M Patel · 2019
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Residual non-local attention networks for image restoration
Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, and Yun Fu · 2019
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Residual multiscale based single image deraining
Yupei Zheng, Xin Yu, Miaomiao Liu, and Shunli Zhang · 2019
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Densely residual laplacian super-resolution
Saeed Anwar and Nick Barnes · 2020
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Spatial-adaptive network for single image denoising
Meng Chang, Qi Li, Huajun Feng, and Zhihai Xu · 2020
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Stacked spatio-temporal graph convolutional networks for action segmentation
Pallabi Ghosh, Yi Yao, Larry Davis, and Ajay Divakaran · 2020
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Multi-scale progressive fusion network for single image deraining
Kui Jiang, Zhongyuan Wang, Peng Yi, Baojin Huang, Yimin Luo, Jiayi Ma, and Junjun Jiang · 2020
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Transfer learning from synthetic to real-noise denoising with adaptive instance normalization
Yoonsik Kim, Jae Woong Soh, Gu Yong Park, and Nam Ik Cho · 2020
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MS-TCN++: Multi-stage temporal convolutional network for action segmentation
Shi-Jie Li, Yazan AbuFarha, Yun Liu, Ming-Ming Cheng, and Juergen Gall · 2020
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Exploiting deep generative prior for versatile image restoration and manipulation
Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, and Ping Luo · 2020
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Multi-temporal recurrent neural networks for progressive non-uniform single image deblurring with incremental temporal training
Dongwon Park, Dong Un Kang, Jisoo Kim, and Se Young Chun · 2020
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Region-adaptive dense network for efficient motion deblurring
Kuldeep Purohit and AN Rajagopalan · 2020
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Real-world blur dataset for learning and benchmarking deblurring algorithms
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Spatially-attentive patch-hierarchical network for adaptive motion deblurring
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Deep learning on image denoising: An overview
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Dual adversarial network: Toward real-world noise removal and noise generation
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CycleISP: Real image restoration via improved data synthesis
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Learning enriched features for real image restoration and enhancement
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Deblurring by realistic blurring
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Residual dense network for image restoration
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Transformers in vision: A survey
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