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Despite the significant results on synthetic noise under simplified assumptions, most self-supervised denoising methods fail under real noise due to the strong spatial noise correlation, including the advanced self-supervised blind-spot networks (BSNs).
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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A non-local algorithm for image denoising
Antoni Buades, Bartomeu Coll, and J-M Morel · 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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Weighted nuclear norm minimization with application to image denoising
Shuhang Gu, Lei Zhang, Wangmeng Zuo, and Xiangchu Feng · 2014
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Joint super resolution and denoising from a single depth image
Jun Xie, Rogerio Schmidt Feris, Shiaw-Shian Yu, and Ming-Ting Sun · 2015
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Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Benchmarking denoising algorithms with real photographs
Tobias Plotz and Stefan Roth · 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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A high-quality denoising dataset for smartphone cameras
Abdelrahman Abdelhamed, Stephen Lin, and Michael S Brown · 2018
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Image blind denoising with generative adversarial network based noise modeling
Jingwen Chen, Jiawei Chen, Hongyang Chao, and Ming Yang · 2018
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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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Multi-level wavelet-cnn for image restoration
Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, and Wangmeng Zuo · 2018
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Ffdnet: Toward a fast and flexible solution for cnn-based image denoising
Kai Zhang, Wangmeng Zuo, and Lei Zhang · 2018
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Real image denoising with feature attention
Saeed Anwar and Nick Barnes · 2019
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Noise2self: Blind denoising by self-supervision
Joshua Batson and Loic Royer · 2019
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Natural image noise dataset
Benoit Brummer and Christophe De Vleeschouwer · 2019
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Toward convolutional blind denoising of real photographs
Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, and Lei Zhang · 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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Noisy-as-clean: Learning self-supervised denoising from corrupted image
Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, and Ling Shao · 2020
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When awgn-based denoiser meets real noises
Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, and Thomas Huang · 2020
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Nbnet: Noise basis learning for image denoising with subspace projection
Shen Cheng, Yuzhi Wang, Haibin Huang, Donghao Liu, Haoqiang Fan, and Shuaicheng Liu · 2021
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Neighbor2neighbor: Self-supervised denoising from single noisy images
Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, and Jianzhuang Liu · 2021
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C2n: Practical generative noise modeling for real-world denoising
Geonwoon Jang, Wooseok Lee, Sanghyun Son, and Kyoung Mu Lee · 2021
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Recorrupted-to-recorrupted: unsupervised deep learning for image denoising
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Deep iterative down-up cnn for image denoising
Songhyun Yu, Bumjun Park, and Jechang Jeong · 2019
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End-to-end unpaired image denoising with conditional adversarial networks
Zhiwei Hong, Xiaocheng Fan, Tao Jiang, and Jianxing Feng · 2020
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Transfer learning from synthetic to real-noise denoising with adaptive instance normalization
Yoonsik Kim, Jae Woong Soh, Gu Yong Park, and Nam Ik Cho · 2020
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Probabilistic noise2void: Unsupervised content-aware denoising
Alexander Krull, Tomáš Vičar, Mangal Prakash, Manan Lalit, and Florian Jug · 2020
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Connecting image denoising and high-level vision tasks via deep learning
Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, and Thomas S Huang · 2020
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Noisier2noise: Learning to denoise from unpaired noisy data
Nick Moran, Dan Schmidt, Yu Zhong, and Patrick Coady · 2020
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Tongyao Pang, Huan Zheng, Yuhui Quan, and Hui Ji · 2021
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Low-light raw video denoising with a high-quality realistic motion dataset
Ying Fu, Zichun Wang, Tao Zhang, and Jun Zhang · 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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Cvf-sid: Cyclic multi-variate function for self-supervised image denoising by disentangling noise from image
Reyhaneh Neshatavar, Mohsen Yavartanoo, Sanghyun Son, and Kyoung Mu Lee · 2022
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Maxvit: Multi-axis vision transformer
Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, and Yinxiao 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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