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Single-image super-resolution is a fundamental task for vision applications to enhance the image quality with respect to spatial resolution.
Motion deblurring and super-resolution from an image sequence
Benedicte Bascle, Andrew Blake, and Andrew Zisserman · 1996
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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High-quality motion deblurring from a single image
Qi Shan, Jiaya Jia, and Aseem Agarwala · 2008
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Fast motion deblurring
Sunghyun Cho and Seungyong Lee · 2009
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Video deblurring and super-resolution technique for multiple moving objects
Takuma Yamaguchi, Hisato Fukuda, Ryo Furukawa, Hiroshi Kawasaki, and Peter Sturm · 2010
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Bayesian deblurring with integrated noise estimation
Uwe Schmidt, Kevin Schelten, and Stefan Roth · 2011
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Close the loop: Joint blind image restoration and recognition with sparse representation prior
Haichao Zhang, Jianchao Yang, Yanning Zhang, Nasser M Nasrabadi, and Thomas S Huang · 2011
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Recording and playback of camera shake: Benchmarking blind deconvolution with a real-world database
Rolf Köhler, Michael Hirsch, Betty Mohler, Bernhard Schölkopf, and Stefan Harmeling · 2012
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Very low resolution face recognition problem
Wilman WW Zou and Pong C Yuen · 2012
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Dynamic scene deblurring
Tae Hyun Kim, Byeongjoo Ahn, and Kyoung Mu Lee · 2013
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Non-uniform motion deblurring for bilayer scenes
Chandramouli Paramanand and Ambasamudram N Rajagopalan · 2013
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Discriminative non-blind deblurring
Uwe Schmidt, Carsten Rother, Sebastian Nowozin, Jeremy Jancsary, and Stefan Roth · 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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Joint depth estimation and camera shake removal from single blurry image
Zhe Hu, Li Xu, and Ming-Hsuan Yang · 2014
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A+: Adjusted anchored neighborhood regression for fast super-resolution
Radu Timofte, Vincent De Smet, and Luc Van Gool · 2014
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Convolutional neural networks for direct text deblurring
Michal Hradiš, Jan Kotera, Pavel Zemcík, and Filip Šroubek · 2015
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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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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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Fast and accurate image upscaling with super-resolution forests
Samuel Schulter, Christian Leistner, and Horst Bischof · 2015
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Image super-resolution using deep convolutional networks
Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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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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Blur-invariant deep learning for blind-deblurring
T M Nimisha, Akash K Singh, and Ambasamudram N Rajagopalan · 2017
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Motion deblurring in the wild
Mehdi Noroozi, Paramanand Chandramouli, and Paolo Favaro · 2017
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Joint estimation of camera pose, depth, deblurring, and super-resolution from a blurred image sequence
Haesol Park and Kyoung Mu Lee · 2017
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Enhancenet: Single image super-resolution through automated texture synthesis
Mehdi SM Sajjadi, Bernhard Schölkopf, and Michael Hirsch · 2017
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Deep video deblurring
Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, and Oliver Wang · 2017
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Deep joint image filtering
Yijun Li, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang · 2016
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Blind image deblurring using dark channel prior
Jinshan Pan, Deqing Sun, Hanspeter Pfister, and Ming-Hsuan Yang · 2016
Cited alongside, same era.
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang · 2016
Cited alongside, same era.
Deep cascaded bi-network for face hallucination
Shizhan Zhu, Sifei Liu, Chen Change Loy, and Xiaoou Tang · 2016
Cited alongside, same era.
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, AVD Hengel, and Qinfeng Shi · 2017
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Image super-resolution via deep recursive residual network
Ying Tai, Jian Yang, and Xiaoming Liu · 2017
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Learning to super-resolve blurry face and text images
Xiangyu Xu, Deqing Sun, Jinshan Pan, Yujin Zhang, Hanspeter Pfister, and Ming-Hsuan Yang · 2017
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Joint transmission map estimation and dehazing using deep networks
He Zhang, Vishwanath Sindagi, and Vishal M Patel · 2017
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DeblurGAN: Blind motion deblurring using conditional adversarial networks
Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, and Jiri Matas · 2018
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Learning dual convolutional neural networks for low-level vision
Jinshan Pan, Sifei Liu, Deqin Sun, Jiawei Zhang, Yang Liu, Jimmy Ren, Zechao Li, Jinhui Tang, Huchuan Lu, Yu-Wing Tai, and Ming-Hsuan Yang · 2018
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Gated fusion network for single image dehazing
Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, and Ming-Hsuan Yang · 2018
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”Zero-Shot” super-resolution using deep internal learning
Assaf Shocher, Nadav Cohen, and Michal Irani · 2018
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Super-resolving very low-resolution face images with supplementary attributes
Xin Yu, Basura Fernando, Richard Hartley, and Fatih Porikli · 2018
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A deep encoder-decoder networks for joint deblurring and super-resolution
Xinyi Zhang, Fei Wang, Hang Dong, and Yu Guo · 2018
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