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Self-supervised image denoising implies restoring the signal from a noisy image without access to the ground truth.
A threshold selection method from gray-level histograms
Nobuyuki Otsu · 1979
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Kodak lossless true color image suite
Rich Franzen · 1999
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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
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A non-local algorithm for image denoising
Antoni Buades, Bartomeu Coll, and J-M Morel · 2005
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Fields of experts: A framework for learning image priors
Stefan Roth and Michael J Black · 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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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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On single image scale-up using sparse-representations
Roman Zeyde, Michael Elad, and Matan Protter · 2010
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Optimal inversion of the anscombe transformation in low-count poisson image denoising
Markku Makitalo and Alessandro Foi · 2011
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Gaussian Error Linear Units (GELUs)
Dan Hendrycks and Kevin Gimpel · 2016
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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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Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang · 2017
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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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Super-convergence: very fast training of neural networks using large learning rates
Leslie N. Smith and Nicholay Topin · 2018
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High performance computing center, institute of computer science, 2018
University of Tartu · 2018
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Noise2Self: Blind denoising by self-supervision
Joshua Batson and Loic Royer · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 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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High-quality self-supervised deep image denoising
Samuli Laine, Tero Karras, Jaakko Lehtinen, and Timo Aila · 2019
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A poisson-gaussian denoising dataset with real fluorescence microscopy images
Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuan Zhang, Cody Smith, and Scott Howard · 2019
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An image is worth 16x16 words: Transformers for image recognition at scale
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Recorrupted-to-recorrupted: unsupervised deep learning for image denoising
Tongyao Pang, Huan Zheng, Yuhui Quan, and Hui Ji · 2021
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Dilated neighborhood attention transformer
Ali Hassani and Humphrey Shi · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Ap-bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network
Wooseok Lee, Sanghyun Son, and Kyoung Mu Lee · 2022
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Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Efficient blind-spot neural network architecture for image denoising
David Honzátko, Siavash A Bigdeli, Engin Türetken, and L Andrea Dunbar · 2020
Cited alongside, same era.
Noisier2noise: Learning to denoise from unpaired noisy data
Nick Moran, Dan Schmidt, Yu Zhong, and Patrick Coady · 2020
Cited alongside, same era.
Self2self with dropout: Learning self-supervised denoising from single image
Yuhui Quan, Mingqin Chen, Tongyao Pang, and Hui Ji · 2020
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Fast and accurate deep bidirectional language representations for unsupervised learning
Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon, and Kyomin Jung · 2020
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Unpaired learning of deep image denoising
Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, and Wangmeng Zuo · 2020
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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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Dnt: Learning unsupervised denoising transformer from single noisy image
Xiaolong Liu, Yusheng Hong, Qifang Yin, and Shuo Zhang · 2022
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Einops: Clear and reliable tensor manipulations with einstein-like notation
Alex Rogozhnikov · 2022
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Uformer: A general u-shaped transformer for image restoration
Zhendong Wang, Xiaodong Cun, Jianmin Bao, Wengang Zhou, Jianzhuang Liu, and Houqiang Li · 2022
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Blind2unblind: Self-supervised image denoising with visible blind spots
Zejin Wang, Jiazheng Liu, Guoqing Li, and Hua Han · 2022
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Restormer: Efficient transformer for high-resolution image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang · 2022
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Symbolic discovery of optimization algorithms
Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Yao Liu, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, et al · 2023
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Noise2info: Noisy image to information of noise for self-supervised image denoising
Jiachuan Wang, Shimin Di, Lei Chen, and Charles Wang Wai Ng · 2023
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Self-supervised image denoising for real-world images with context-aware transformer
Dan Zhang and Fangfang Zhou · 2023
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Iterative denoiser and noise estimator for self-supervised image denoising
Yunhao Zou, Chenggang Yan, and Ying Fu · 2023
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