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Recently, there has been extensive research interest in training deep networks to denoise images without clean reference.
An empirical Bayes approach to statistics
H Robbins · 1956
Earlier work this paper cites.
Estimation of the mean of a multivariate normal distribution
Charles M Stein · 1981
Earlier work this paper cites.
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
David Martin, Charless Fowlkes, Doron Tal, and Jitendra Malik · 2001
Earlier work this paper cites.
Estimation of non-normalized statistical models by score matching
Aapo Hyvärinen and Peter Dayan · 2005
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Image denoising with block-matching and 3D filtering
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2006
Earlier work this paper cites.
Multilevel algorithm for a Poisson noise removal model with total-variation regularization
Raymond H Chan and Ke Chen · 2007
Earlier work this paper cites.
Monte-carlo SURE: A black-box optimization of regularization parameters for general denoising algorithms
Sathish Ramani, Thierry Blu, and Michael Unser · 2008
Earlier work this paper cites.
Approximation theorems of mathematical statistics
Robert J Serfling · 2009
Earlier work this paper cites.
Multiplicative noise removal using variable splitting and constrained optimization
José M Bioucas-Dias and Mário AT Figueiredo · 2010
Earlier work this paper cites.
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, Pierre-Antoine Manzagol, and Léon Bottou · 2010
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Optimal inversion of the Anscombe transformation in low-count Poisson image denoising
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Tweedie’s formula and selection bias
Bradley Efron · 2011
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A connection between score matching and denoising autoencoders
Pascal Vincent · 2011
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Least squares estimation without priors or supervision
Martin Raphan and Eero P Simoncelli · 2011
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What regularized auto-encoders learn from the data-generating distribution
Guillaume Alain and Yoshua Bengio · 2014
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An unbiased risk estimator for image denoising in the presence of mixed Poisson–Gaussian noise
Yoann Le Montagner, Elsa D Angelini, and Jean-Christophe Olivo-Marin · 2014
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NTIRE 2018 challenge on Single Image Super-Resolution: Methods and Results
Radu Timofte, Shuhang Gu, Jiqing Wu, Luc Van Gool, Lei Zhang, Ming-Hsuan Yang, Muhammad Haris, et al · 2018
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Noise2Void-learning denoising from single noisy images
Alexander Krull, Tim-Oliver Buchholz, and Florian Jug · 2019
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Magauiya Zhussip, Shakarim Soltanayev, and Se Young Chun · 2019
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Noise2Self: Blind denoising by self-supervision
Joshua Batson and Loic Royer · 2019
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A convex nonlocal total variation regularization algorithm for multiplicative noise removal
Mingju Chen, Hua Zhang, Qiang Han, and Chen Cheng Huang · 2019
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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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
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Training and Refining Deep Learning Based Denoisers without Ground Truth Data
Shakarim Soltanayev and Se Young Chun · 2018
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
Cited alongside, same era.
Samuli Laine, Tero Karras, Jaakko Lehtinen, and Timo Aila · 2019
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Noise2Same: Optimizing a self-supervised bound for image denoising
Yaochen Xie, Zhengyang Wang, and Shuiwang Ji · 2020
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AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim, Aaron Courville, Christopher Pal, and Chin-Wei Huang · 2020
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Unsupervised Training of Denoisers for Low-Dose CT Reconstruction Without Full-Dose Ground Truth
Kwanyoung Kim, Shakarim Soltanayev, and Se Young Chun · 2020
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Noisier2noise: Learning to denoise from unpaired noisy data
Nick Moran, Dan Schmidt, Yu Zhong, and Patrick Coady · 2020
Later among the works it cites.