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Video denoising is to remove noise from noise-corrupted data, thus recovering true signals via spatiotemporal processing.
Space-time video completion
Yonatan Wexler, Eli Shechtman, and Michal Irani · 2004
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Fields of experts: A framework for learning image priors
Stefan Roth and Michael J Black · 2005
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Image denoising by sparse 3-d transform-domain collaborative filtering
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2007
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Learning gaussian conditional random fields for low-level vision
Marshall F Tappen, Ce Liu, Edward H Adelson, and William T Freeman · 2007
Earlier work this paper cites.
Image denoising: Can plain neural networks compete with bm3d?
Harold C Burger, Christian J Schuler, and Stefan Harmeling · 2012
Earlier work this paper cites.
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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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Video inpainting of complex scenes
Alasdair Newson, Andrés Almansa, Matthieu Fradet, Yann Gousseau, and Patrick Pérez · 2014
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Flownet: Learning optical flow with convolutional networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der Smagt, Daniel Cremers, and Thomas Brox · 2015
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Epicflow: Edge-preserving interpolation of correspondences for optical flow
Jerome Revaud, Philippe Weinzaepfel, Zaid Harchaoui, and Cordelia Schmid · 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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Temporally coherent completion of dynamic video
Jia-Bin Huang, Sing Bing Kang, Narendra Ahuja, and Johannes Kopf · 2016
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Back to basics: Unsupervised learning of optical flow via brightness constancy and motion smoothness
J Yu Jason, Adam W Harley, and Konstantinos G Derpanis · 2016
Cited alongside, same era.
Image restoration using convolutional auto-encoders with symmetric skip connections
Xiao-Jiao Mao, Chunhua Shen, and Yu-Bin Yang · 2016
Cited alongside, same era.
Non-local color image denoising with convolutional neural networks
Stamatios Lefkimmiatis · 2017
Cited alongside, same era.
Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
Cited alongside, same era.
Optical flow estimation using a spatial pyramid network
Anurag Ranjan and Michael J Black · 2017
Cited alongside, same era.
Noise2noise: Learning image restoration without clean data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, and Timo Aila · 2018
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Context-aware synthesis for video frame interpolation
Simon Niklaus and Feng Liu · 2018
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Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz · 2018
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Noise2self: Blind denoising by self-supervision
Joshua Batson and Loic Royer · 2019
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Videnn: Deep blind video denoising
Michele Claus and Jan van Gemert · 2019
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Ying Tai, Jian Yang, Xiaoming Liu, and Chunyan Xu · 2017
Cited alongside, same era.
Isotropic reconstruction of 3d fluorescence microscopy images using convolutional neural networks
Martin Weigert, Loic Royer, Florian Jug, and Gene Myers · 2017
Cited alongside, same era.
Accurate optical flow via direct cost volume processing
Jia Xu, René Ranftl, and Vladlen Koltun · 2017
Cited alongside, same era.
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
Cited alongside, same era.
Video denoising via empirical bayesian estimation of space-time patches
Pablo Arias and Jean-Michel Morel · 2018
Cited alongside, same era.
Non-local video denoising by cnn
Axel Davy, Thibaud Ehret, Gabriele Facciolo, Jean-Michel Morel, and Pablo Arias · 2018
Cited alongside, same era.
Universal denoising networks: a novel cnn architecture for image denoising
Stamatios Lefkimmiatis · 2018
Cited alongside, same era.
Thibaud Ehret, Axel Davy, Jean-Michel Morel, Gabriele Facciolo, and Pablo Arias · 2019
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Deep video inpainting
Dahun Kim, Sanghyun Woo, Joon-Young Lee, and In So Kweon · 2019
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Noise2void-learning denoising from single noisy images
Alexander Krull, Tim-Oliver Buchholz, and Florian Jug · 2019
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Dvdnet: A fast network for deep video denoising
Matias Tassano, Julie Delon, and Thomas Veit · 2019
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Fastdvdnet: Towards real-time video denoising without explicit motion estimation
Matias Tassano, Julie Delon, and Thomas Veit · 2019
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Noisy-as-clean: Learning unsupervised denoising from the corrupted image
Jun Xu, Yuan Huang, Li Liu, Fan Zhu, Xingsong Hou, and Ling Shao · 2019
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Video enhancement with task-oriented flow
Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, and William T Freeman · 2019
Later among the works it cites.