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Motion blur is one of the most common degradation artifacts in dynamic scene photography.
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Pierre Charbonnier, Laure Blanc-Feraud, Gilles Aubert, and Michel Barlaud · 1994
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Zhou Wang, Alan C Bovik, Hamid R Sheikh, Eero P Simoncelli, et al · 2004
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Anat Levin · 2007
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Ankit Gupta, Neel Joshi, C Lawrence Zitnick, Michael Cohen, and Brian Curless · 2010
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Space-variant single-image blind deconvolution for removing camera shake
Stefan Harmeling, Hirsch Michael, and Bernhard Schölkopf · 2010
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Michael Hirsch, Christian J Schuler, Stefan Harmeling, and Bernhard Schölkopf · 2011
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A two-stage approach to blind spatially-varying motion deblurring
Hui Ji and Kang Wang · 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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Speeding up convolutional neural networks with low rank expansions
Max Jaderberg, Andrea Vedaldi, and Andrew Zisserman · 2014
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Segmentation-free dynamic scene deblurring
Tae Hyun Kim and Kyoung Mu Lee · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Compressing neural networks with the hashing trick
Wenlin Chen, James Wilson, Stephen Tyree, Kilian Weinberger, and Yixin Chen · 2015
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Song Han, Huizi Mao, and William J Dally · 2015
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Learning both weights and connections for efficient neural network
Song Han, Jeff Pool, John Tran, and William Dally · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Generalized video deblurring for dynamic scenes
Tae Hyun Kim and Kyoung Mu Lee · 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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Learning a convolutional neural network for non-uniform motion blur removal
Jian Sun, Wenfei Cao, Zongben Xu, and Jean Ponce · 2015
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Multi-scale context aggregation by dilated convolutions
Fisher Yu and Vladlen Koltun · 2015
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Accelerating very deep convolutional networks for classification and detection
Xiangyu Zhang, Jianhua Zou, Kaiming He, and Jian Sun · 2015
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Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2016
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Fengfu Li, Bo Zhang, and Bin Liu · 2016
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Pruning filters for efficient convnets
Hao Li, Asim Kadav, Igor Durdanovic, Hanan Samet, and Hans Peter Graf · 2016
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Xnor-net: Imagenet classification using binary convolutional neural networks
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi · 2016
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Seven ways to improve example-based single image super resolution
Radu Timofte, Rasmus Rothe, and Luc Van Gool · 2016
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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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Channel pruning for accelerating very deep neural networks
Yihui He, Xiangyu Zhang, and Jian Sun · 2017
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
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Flownet 2.0: Evolution of optical flow estimation with deep networks
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox · 2017
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Online video deblurring via dynamic temporal blending network
Tae Hyun Kim, Kyoung Mu Lee, Bernhard Scholkopf, and Michael Hirsch · 2017
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Enhanced deep residual networks for single image super-resolution
Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee · 2017
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Thinet: A filter level pruning method for deep neural network compression
Jian-Hao Luo, Jianxin Wu, and Weiyao Lin · 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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Motion deblurring in the wild
Mehdi Noroozi, Paramanand Chandramouli, and Paolo Favaro · 2017
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Deep video deblurring for hand-held cameras
Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, and Oliver Wang · 2017
Efficient super resolution using binarized neural network
Yinglan Ma, Hongyu Xiong, Zhe Hu, and Lizhuang Ma · 2019
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NTIRE 2019 challenges on video deblurring and super-resolution: Dataset and study
Seungjun Nah, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Radu Timofte, and Kyoung Mu Lee · 2019
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Recurrent neural networks with intra-frame iterations for video deblurring
Seungjun Nah, Sanghyun Son, and Kyoung Mu Lee · 2019
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NTIRE 2019 challenge on video deblurring: Methods and results
Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, and Kyoung Mu Lee · 2019
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NTIRE 2019 challenge on video super-resolution: Methods and results
Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, and Kyoung Mu Lee · 2019
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Ilya Tolstikhin, Olivier Bousquet, Sylvain Gelly, and Bernhard Schoelkopf · 2017
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Factorized convolutional neural networks
Min Wang, Baoyuan Liu, and Hassan Foroosh · 2017
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Learning blind motion deblurring
Patrick Wieschollek, Michael Hirsch, Bernhard Scholkopf, and Hendrik P. A. Lensch · 2017
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Incremental network quantization: Towards lossless cnns with low-precision weights
Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, and Yurong Chen · 2017
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Fast, accurate, and lightweight super-resolution with cascading residual network
Namhyuk Ahn, Byungkon Kang, and Kyung-Ah Sohn · 2018
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Reblur2deblur: Deblurring videos via self-supervised learning
Huaijin Chen, Jinwei Gu, Orazio Gallo, Ming-Yu Liu, Ashok Veeraraghavan, and Jan Kautz · 2018
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Kuldeep Purohit and AN Rajagopalan · 2019
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Bringing alive blurred moments
Kuldeep Purohit, Anshul Shah, and A. N. Rajagopalan · 2019
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Thundernet: Towards real-time generic object detection on mobile devices
Zheng Qin, Zeming Li, Zhaoning Zhang, Yiping Bao, Gang Yu, Yuxing Peng, and Jian Sun · 2019
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Face video deblurring using 3d facial priors
Wenqi Ren, Jiaolong Yang, Senyou Deng, David Wipf, Xiaochun Cao, and Xin Tong · 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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Mnasnet: Platform-aware neural architecture search for mobile
Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, and Quoc V. Le · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc V Le · 2019
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Architecture-aware network pruning for vision quality applications
Wei-Ting Wang, Han-Lin Li, Wei-Shiang Lin, Cheng-Ming Chiang, and Yi-Min Tsai · 2019
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Edvr: Video restoration with enhanced deformable convolutional networks
Xintao Wang, Kelvin C.K. Chan, Ke Yu, Chao Dong, and Chen Change Loy · 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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AIM 2019 challenge on constrained super-resolution: Methods and results
Kai Zhang, Shuhang Gu, Radu Timofte, et al · 2019
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Spatio-temporal filter adaptive network for video deblurring
Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie, Wangmeng Zuo, and Jimmy Ren · 2019
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Davanet: Stereo deblurring with view aggregation
Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, and Jimmy S. Ren · 2019
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NTIRE 2020 challenge on real image denoising: Dataset, methods and results
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael Brown, et al · 2020
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NTIRE 2020 challenge on nonhomogeneous dehazing
Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, et al · 2020
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NTIRE 2020 challenge on spectral reconstruction from an rgb image
Boaz Arad, Radu Timofte, Yi-Tun Lin, Graham Finlayson, Ohad Ben-Shahar, et al · 2020
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High-resolution dual-stage multi-level feature aggregation for single image and video deblurring
Stephan Brehm, Sebastian Scherer, and Rainer Lienhart · 2020
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Deploying image deblurring across mobile devices: A perspective of quality and latency
Cheng-Ming Chiang, Yu Tseng, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Guan-Yu Chen, Kaon-Sin Tan, Wei-Ting Wang, Yu-Chieh Lin, Shou-Yao Roy Tseng, Wei-Shiang Lin, Chia-Lin Yu, BY Shen, Kloze Kao, Chia-Ming Cheng, and Hung-Jen Chen · 2020
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Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, et al · 2020
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NTIRE 2020 challenge on real-world image super-resolution: Methods and results
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Spatially-attentive patch-hierarchical network for adaptive motion deblurring
Maitreya Suin, Kuldeep Purohit, and A. N. Rajagopalan · 2020
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