图像去噪——一个"古老"而又一直存在不会过时的视觉课题。
本文总结CVPR 2021 图像去噪相关论文。共计 14 篇。
大家可以在：https://openaccess.thecvf.com/CVPR2021?day=all 按照题目下载这些论文。
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
论文 | https://arxiv.org/abs/2101.02824
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
作者 | Shen Cheng, Yuzhi Wang, Haibin Huang, Donghao Liu, Haoqiang Fan, Shuaicheng Liu
论文 | https://arxiv.org/abs/2012.15028
Invertible Denoising Network: A Light Solution for Real Noise Removal
作者 | Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina Caldwell, Tom Gedeon
单位 | 澳大利亚国立大学；Data61-CSIRO；OPPO（美）；GSAI POSTECH
论文 | https://arxiv.org/abs/2104.10546
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
作者 | Jaeseok Byun, Sungmin Cha, Taesup Moon
论文 | https://arxiv.org/abs/2105.10967
Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising
作者 | Tongyao Pang、Huan Zheng、Yuhui Quan、Hui Ji
CNN Denoisers As Non-Local Filters: The Neural Tangent Denoiser
作者 | Julián Tachella, Junqi Tang, Mike Davies
论文 | https://arxiv.org/abs/2006.02379
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments
作者 | Zhihao Xia, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti
单位 | 圣路易斯华盛顿大学；Adobe Research；Facebook
论文 | https://arxiv.org/abs/2012.05116
代码 | https://github.com/likesum/deepFnF
Adaptive Consistency Prior based Deep Network for Image Denoising
作者 | Chao Ren、Xiaohai He、 Chuncheng Wang 、Zhibo Zhao
https://openaccess.thecvf.com/content/CVPR2021/papers/Ren_Adaptive_Consistency_Prior_Based_Deep_Network_for_Image_Denoising_CVPR_2021_paper.pdf
代码 | https://github.com/chaoren88/DeamNet
EventZoom: Learning to Denoise and Super Resolve Neuromorphic Events
作者 | Peiqi Duan、Zihao W. Wang、Xinyu Zhou、Yi Ma、Boxin Shi
https://openaccess.thecvf.com/content/CVPR2021/papers/Duan_EventZoom_Learning_To_Denoise_and_Super_Resolve_Neuromorphic_Events_CVPR_2021_paper.pdf
Extreme Low-Light Environment-Driven Image Denoising over Permanently Shadowed Lunar Regions with a Physical Noise Model
作者 | Ben Moseley、Valentin Bickel、Ignacio G. Lopez-Francos、Loveneesh Rana
Driven_Image_Denoising_Over_Permanently_Shadowed_Lunar_Regions_CVPR_2021_paper.pdf
作者 | Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, Tolga Bolukbasi
Deep Convolutional Dictionary Learning for Image Denoising
作者 | Hongyi Zheng、Hongwei Yong、Lei Zhang
https://openaccess.thecvf.com/content/CVPR2021/papers/Zheng_Deep_Convolutional_Dictionary_Learning_for_Image_Denoising_CVPR_2021_paper.pdf
Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise
作者 | Xiangyu Rui、Xiangyong Cao、Qi Xie、Zongsheng Yue、Qian Zhao、Deyu Meng
Pseudo 3D Auto-Correlation Network for Real Image Denoising
作者 | Xiaowan Hu、Ruijun Ma、Zhihong Liu、Yuanhao Cai、Xiaole Zhao、Yulun Zhang、Haoqian Wang
单位 | 清华；澳门大学；西南交通大学；东北大学（美）
https://openaccess.thecvf.com/content/CVPR2021/papers/Hu_Pseudo_3D_Auto-Correlation_Network_for_Real_Image_Denoising_CVPR_2021_paper.pdf
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