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In supervised learning for image denoising, usually the paired clean images and noisy images are collected or synthesised to train a denoising model.
Image denoising with block-matching and 3d filtering
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2006
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Monte-carlo sure: A black-box optimization of regularization parameters for general denoising algorithms
Sathish Ramani, Thierry Blu, and Michael Unser · 2008
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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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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Ntire 2018 challenge on single image super-resolution: Methods and results
Radu Timofte, Shuhang Gu, Jiqing Wu, and Luc Van Gool · 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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A comparative study of fruit defect segmentation techniques
Lalit Chaudhary and Yogesh Yogesh · 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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Variational denoising network: Toward blind noise modeling and removal
Zongsheng Yue, Hongwei Yong, Qian Zhao, Deyu Meng, and Lei Zhang · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 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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Diffwave: A versatile diffusion model for audio synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, and Bryan Catanzaro · 2020
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Pseudo 3d auto-correlation network for real image denoising
Xiaowan Hu, Ruijun Ma, Zhihong Liu, Yuanhao Cai, Xiaole Zhao, Yulun Zhang, and Haoqian Wang · 2021
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Cross-patch graph convolutional network for image denoising
Yao Li, Xueyang Fu, and Zheng-Jun Zha · 2021
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Invertible denoising network: A light solution for real noise removal
Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina Caldwell, and Tom Gedeon · 2021
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Sdedit: Image synthesis and editing with stochastic differential equations
Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2021
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Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
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Cycleisp: Real image restoration via improved data synthesis
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2020
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Learning enriched features for real image restoration and enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, 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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Chao Ren, Xiaohai He, Chuncheng Wang, and Zhibo Zhao · 2021
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Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2021
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Deep convolutional dictionary learning for image denoising
Hongyi Zheng, Hongwei Yong, and Lei Zhang · 2021
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Trained model in supervised deep learning is a conditional risk minimizer
Yutong Xie, Dufan Wu, Bin Dong, and Quanzheng Li · 2022
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