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Bursts of images exhibit significant self-similarity across both time and space.
A non-local algorithm for image denoising
Antoni Buades, Bartomeu Coll, and J-M Morel · 2005
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Color image denoising via sparse 3d collaborative filtering with grouping constraint in luminance-chrominance space
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2007
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Video denoising by sparse 3d transform-domain collaborative filtering
Dabov Kostadin, Foi Alessandro, and Egiazarian Karen · 2007
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Practical poissonian-gaussian noise modeling and fitting for single-image raw-data
Alessandro Foi, Mejdi Trimeche, Vladimir Katkovnik, and Karen Egiazarian · 2008
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Super-resolution from a single image
Daniel Glasner, Shai Bagon, and Michal Irani · 2009
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Fields of experts
Stefan Roth and Michael J Black · 2009
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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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Video denoising, deblocking, and enhancement through separable 4-d nonlocal spatiotemporal transforms
Matteo Maggioni, Giacomo Boracchi, Alessandro Foi, and Karen Egiazarian · 2012
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Image denoising and inpainting with deep neural networks
Junyuan Xie, Linli Xu, and Enhong Chen · 2012
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Flexisp: A flexible camera image processing framework
Felix Heide, Markus Steinberger, Yun-Ta Tsai, Mushfiqur Rouf, Dawid Pająk, Dikpal Reddy, Orazio Gallo, Jing Liu, Wolfgang Heidrich, Karen Egiazarian, et al · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Fast burst images denoising
Ziwei Liu, Lu Yuan, Xiaoou Tang, Matt Uyttendaele, and Jian Sun · 2014
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Shrinkage fields for effective image restoration
Uwe Schmidt and Stefan Roth · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Unsupervised learning for physical interaction through video prediction
Chelsea Finn, Ian Goodfellow, and Sergey Levine · 2016
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Burst photography for high dynamic range and low-light imaging on mobile cameras
Samuel W Hasinoff, Dillon Sharlet, Ryan Geiss, Andrew Adams, Jonathan T Barron, Florian Kainz, Jiawen Chen, and Marc Levoy · 2016
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Proximal: Efficient image optimization using proximal algorithms
Felix Heide, Steven Diamond, Matthias Nießner, Jonathan Ragan-Kelley, Wolfgang Heidrich, and Gordon Wetzstein · 2016
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Dynamic filter networks
Xu Jia, Bert De Brabandere, Tinne Tuytelaars, and Luc V Gool · 2016
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Raisr: rapid and accurate image super resolution
Yaniv Romano, John Isidoro, and Peyman Milanfar · 2016
Learning to see in the dark
Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun · 2018
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Blade: Filter learning for general purpose computational photography
Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro, Sungjoon Choi, Frank Ong, and Peyman Milanfar · 2018
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Deep burst denoising
Clément Godard, Kevin Matzen, and Matt Uyttendaele · 2018
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Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation
Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, and Seon Joo Kim · 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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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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Visual dynamics: Probabilistic future frame synthesis via cross convolutional networks
Tianfan Xue, Jiajun Wu, Katherine Bouman, and Bill Freeman · 2016
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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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Openimages: A public dataset for large-scale multi-label and multi-class image classification
Ivan Krasin, Tom Duerig, Neil Alldrin, Vittorio Ferrari, Sami Abu-El-Haija, Alina Kuznetsova, Hassan Rom, Jasper Uijlings, Stefan Popov, Andreas Veit, Serge Belongie, Victor Gomes, Abhinav Gupta, Chen Sun, Gal Chechik, David Cai, Zheyun Feng, Dhyanesh Narayanan, and Kevin Murphy · 2017
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Video frame synthesis using deep voxel flow
Ziwei Liu, Raymond A Yeh, Xiaoou Tang, Yiming Liu, and Aseem Agarwala · 2017
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Video frame interpolation via adaptive convolution
Simon Niklaus, Long Mai, and Feng Liu · 2017
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Video frame interpolation via adaptive separable convolution
Simon Niklaus, Long Mai, and Feng Liu · 2017
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Denoising with kernel prediction and asymmetric loss functions
Thijs Vogels, Fabrice Rousselle, Brian McWilliams, Gerhard Röthlin, Alex Harvill, David Adler, Mark Meyer, and Jan Novák · 2018
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Identifying recurring patterns with deep neural networks for natural image denoising
Zhihao Xia and Ayan Chakrabarti · 2018
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Sample-based monte carlo denoising using a kernel-splatting network
Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, and Frédo Durand · 2019
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Iterative residual cnns for burst photography applications
Filippos Kokkinos and Stamatis Lefkimmiatis · 2019
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Handheld mobile photography in very low light
Orly Liba, Kiran Murthy, Yun-Ta Tsai, Tim Brooks, Tianfan Xue, Nikhil Karnad, Qiurui He, Jonathan T. Barron, Dillon Sharlet, Ryan Geiss, Samuel W. Hasinoff, Yael Pritch, and Marc Levoy · 2019
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Multi-kernel prediction networks for denoising of burst images
Talmaj Marinč, Vignesh Srinivasan, Serhan Gül, Cornelius Hellge, and Wojciech Samek · 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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Spatio-temporal filter adaptive network for video deblurring
Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie1, Wangmeng Zuo, and Jimmy Ren · 2019
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