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This paper proposes a novel approach to regularize the ill-posed blind image deconvolution (blind image deblurring) problem using deep generative networks.
Blind image deconvolution
Deepa Kundur and Dimitrios Hatzinakos · 1996
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Total variation blind deconvolution
Tony F Chan and Chiu-Kwong Wong · 1998
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Removing camera shake from a single photograph
Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T Roweis, and William T Freeman · 2006
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Blind motion deblurring from a single image using sparse approximation
Jian-Feng Cai, Hui Ji, Chaoqiang Liu, and Zuowei Shen · 2009
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Understanding and evaluating blind deconvolution algorithms
Anat Levin, Yair Weiss, Fredo Durand, and William T Freeman · 2009
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Single image deblurring with adaptive dictionary learning
Zhe Hu, Jia-Bin Huang, and Ming-Hsuan Yang · 2010
Earlier work this paper cites.
Image smoothing via l 0 gradient minimization
Li Xu, Cewu Lu, Yi Xu, and Jiaya Jia · 2011
Earlier work this paper cites.
Sparse representation based blind image deblurring
Haichao Zhang, Jianchao Yang, Yanning Zhang, and Thomas S Huang · 2011
Earlier work this paper cites.
Modeling the performance of image restoration from motion blur
Giacomo Boracchi, Alessandro Foi, et al · 2012
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Motion blur kernel estimation via salient edges and low rank prior
Jinshan Pan, Risheng Liu, Zhixun Su, and Guili Liu · 2014
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Fine-grained visual comparisons with local learning
Aron Yu and Kristen Grauman · 2014
Cited alongside, same era.
Convolutional neural networks for direct text deblurring
Michal Hradiš, Jan Kotera, Pavel Zemcík, and Filip Šroubek · 2015
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Blind image deconvolution: theory and applications
Patrizio Campisi and Karen Egiazarian · 2016
Cited alongside, same era.
Deep multi-scale convolutional neural network for dynamic scene deblurring
Seungjun Nah, Tae Hyun Kim, and Kyoung Mu Lee · 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.
Image deblurring via enhanced low-rank prior
Wenqi Ren, Xiaochun Cao, Jinshan Pan, Xiaojie Guo, Wangmeng Zuo, and Ming-Hsuan Yang · 2016
Blur-invariant deep learning for blind-deblurring
TM Nimisha, Akash Kumar Singh, and AN Rajagopalan · 2017
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Learning discriminative data fitting functions for blind image deblurring
Jinshan Pan, Jiangxin Dong, Yu-Wing Tai, Zhixun Su, and Ming-Hsuan Yang · 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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Image deblurring via extreme channels prior
Yanyang Yan, Wenqi Ren, Yuanfang Guo, Rui Wang, and Xiaochun Cao · 2017
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Semantic image inpainting with deep generative models
Raymond A Yeh, Chen Chen, Teck Yian Lim, Alexander G Schwing, Mark Hasegawa-Johnson, and Minh N Do · 2017
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Latent convolutional models
Shahrukh Athar, Evgeny Burnaev, and Victor Lempitsky · 2018
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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Learning to deblur
Christian J Schuler, Michael Hirsch, Stefan Harmeling, and Bernhard Schölkopf · 2016
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Compressed sensing using generative models
Ashish Bora, Ajil Jalal, Eric Price, and Alexandros G Dimakis · 2017
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Blind image deblurring with outlier handling
Jiangxin Dong, Jinshan Pan, Zhixun Su, and Ming-Hsuan Yang · 2017
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Global guarantees for enforcing deep generative priors by empirical risk
Paul Hand and Vladislav Voroninski · 2017
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Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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” double-dip”: Unsupervised image decomposition via coupled deep-image-priors
Yossi Gandelsman, Assaf Shocher, and Michal Irani · 2018
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Phase retrieval under a generative prior
Paul Hand, Oscar Leong, and Vlad Voroninski · 2018
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Learning a discriminative prior for blind image deblurring
Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, and Ming-Hsuan Yang · 2018
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Using deep neural networks for inverse problems in imaging: beyond analytical methods
Alice Lucas, Michael Iliadis, Rafael Molina, and Aggelos K Katsaggelos · 2018
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Solving linear inverse problems using gan priors: An algorithm with provable guarantees
Viraj Shah and Chinmay Hegde · 2018
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Robust compressive phase retrieval via deep generative priors
Fahad Shamshad and Ali Ahmed · 2018
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Deep ptych: Subsampled fourier ptychography using generative priors
Fahad Shamshad, Farwa Abbas, and Ali Ahmed · 2018
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