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Noise2Self: Blind Denoising by Self-Supervision

30 January 2019

Papers citing "Noise2Self: Blind Denoising by Self-Supervision"

50 / 131 papers shown

Title
A Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction Qiaoqiao Ding Hui Ji Yuhui Quan Xiaoqun Zhang OOD 72 5 0 01 May 2022
Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising? Valéry Dewil Aranud Barral Gabriele Facciolo Pablo Arias 68 5 0 25 Apr 2022
Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach Dihan Zheng Xiaowen Zhang Kaisheng Ma Chenglong Bao DiffM 75 23 0 21 Apr 2022
Dancing under the stars: video denoising in starlight Kristina Monakhova Stephan R. Richter Laura Waller V. Koltun VGen 81 51 0 08 Apr 2022
Bayesian Image Super-Resolution with Deep Modeling of Image Statistics Yuxin Li Xiahai Zhuang 36 17 0 31 Mar 2022
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image Reyhaneh Neshatavar Mohsen Yavartanoo Sanghyun Son Kyoung Mu Lee 90 69 0 24 Mar 2022
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network Wooseok Lee Sanghyun Son Kyoung Mu Lee 139 127 0 22 Mar 2022
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots Zejin Wang Jiazheng Liu Guoqing Li Hua Han SSL 117 132 0 14 Mar 2022
Manifold Modeling in Quotient Space: Learning An Invariant Mapping with Decodability of Image Patches Tatsuya Yokota H. Hontani 33 2 0 10 Mar 2022
A Note on Machine Learning Approach for Computational Imaging Bin Dong 64 0 0 24 Feb 2022
C2N: Practical Generative Noise Modeling for Real-World Denoising Geonwoon Jang Wooseok Lee Sanghyun Son Kyoung Mu Lee DiffM 96 81 0 19 Feb 2022
Self-Supervised Representation Learning via Latent Graph Prediction Yaochen Xie Zhao Xu Shuiwang Ji SSL 70 33 0 16 Feb 2022
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI Thomas Yu T. Hilbert G. Piredda Arun A. Joseph G. Bonanno ... P. Omoumi Meritxell Bach Cuadra Erick Jorge Canales-Rodríguez Thomas Kober Jean-Philippe Thiran 65 5 0 29 Jan 2022
Towards Adversarially Robust Deep Image Denoising Hanshu Yan Jingfeng Zhang Jiashi Feng Masashi Sugiyama Vincent Y. F. Tan DiffM 57 17 0 12 Jan 2022
Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching Kwanyoung Kim Taesung Kwon Jong Chul Ye 143 17 0 05 Dec 2021
TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysis Wu Ran Bohong Yang Peirong Ma Hong-wei Lu 62 11 0 03 Dec 2021
IDR: Self-Supervised Image Denoising via Iterative Data Refinement Yuanhang Zhang Dasong Li K. L. Law Xiaogang Wang Hongwei Qin Hongsheng Li 47 58 0 29 Nov 2021
NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images B. Mildenhall Peter Hedman Ricardo Martín Brualla Pratul P. Srinivasan Jonathan T. Barron 144 389 0 26 Nov 2021
Learning to Assimilate in Chaotic Dynamical Systems Michael McCabe Jed Brown AI4TS 89 11 0 01 Nov 2021
The potential of self-supervised networks for random noise suppression in seismic data C. Birnie M. Ravasi T. Alkhalifah Sixiu Liu 70 58 0 15 Sep 2021
View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution Yuhongze Zhou Liguang Zhou Tin Lun Lam Yangsheng Xu SSL 97 2 0 10 Sep 2021
Optimal Transport for Unsupervised Denoising Learning Wei Wang Fei Wen Zeyu Yan Peilin Liu OT 89 30 0 04 Aug 2021
Deformation-Compensated Learning for Image Reconstruction without Ground Truth Weijie Gan Yu Sun C. Eldeniz Jiaming Liu Hongyu An Ulugbek S. Kamilov 87 14 0 12 Jul 2021
Unsupervised Knowledge-Transfer for Learned Image Reconstruction Riccardo Barbano Ž. Kereta A. Hauptmann Simon Arridge Bangti Jin 66 11 0 06 Jul 2021
Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging Junshen Xu E. Adalsteinsson MedIm 56 32 0 23 Jun 2021
Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images Kwanyoung Kim Jong Chul Ye DiffM 84 109 0 13 Jun 2021
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise Jaeseok Byun Sungmin Cha Taesup Moon 102 44 0 23 May 2021
End-to-End Unsupervised Document Image Blind Denoising M. Gangeh Marcin Plata Hamid Motahari Nigel P. Duffy 42 11 0 19 May 2021
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement Mehmet Akccakaya Burhaneddin Yaman Hyungjin Chung Jong Chul Ye MedIm 110 56 0 17 May 2021
Interpretable Unsupervised Diversity Denoising and Artefact Removal M. Prakash M. Delbracio P. Milanfar Florian Jug 122 34 0 03 Apr 2021
Deep Contrastive Patch-Based Subspace Learning for Camera Image Signal Processing Yunhao Yang Yi Wang Minh Nguyen 76 0 0 01 Apr 2021
Equivariant Imaging: Learning Beyond the Range Space Dongdong Chen Julián Tachella Mike E. Davies SSL 110 103 0 26 Mar 2021
Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser Yue Cao Xiaohe Wu Shuran Qi Xiao-Chang Liu Zhongqin Wu W. Zuo 68 14 0 18 Mar 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 158 339 0 22 Feb 2021
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising Kanggeun Lee Won-Ki Jeong 56 36 0 19 Feb 2021
Restore from Restored: Single-image Inpainting E. H. Lee Jeongseop Kim Ji Su Kim Tae Hyun Kim 78 4 0 16 Feb 2021
Joint self-supervised blind denoising and noise estimation J. Ollion Charles Ollion Elisabeth Gassiat Luc Lehéricy Sylvain Le Corff 55 9 0 16 Feb 2021
A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images Simone Cammarasana Paolo Nicolardi Giuseppe Patané 40 6 0 22 Jan 2021
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty Jierun Chen Song Wen Shueng-Han Gary Chan 65 16 0 12 Jan 2021
Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives Giulia Fracastoro E. Magli Giovanni Poggi Giuseppe Scarpa D. Valsesia L. Verdoliva 59 66 0 10 Dec 2020
Unsupervised Deep Video Denoising D. Y. Sheth S. Mohan Joshua L. Vincent R. Manzorro Peter A Crozier Mitesh M. Khapra Eero P. Simoncelli C. Fernandez‐Granda VGen 64 63 0 30 Nov 2020
Legacy Photo Editing with Learned Noise Prior Yuzhi Zhao Tingyu Lin Xuehui Wang Kangcheng Liu Yujia Zhang Weikang Yu Pengfei Xian Jingjing Xiong 36 23 0 23 Nov 2020
Shared Prior Learning of Energy-Based Models for Image Reconstruction Thomas Pinetz Erich Kobler Thomas Pock Alexander Effland DiffM 53 4 0 12 Nov 2020
Noise2Stack: Improving Image Restoration by Learning from Volumetric Data Mikhail Papkov Kenny Roberts Lee Ann Madissoon Ö. Bayraktar D. Fishman K. Palo L. Parts 33 9 0 10 Nov 2020
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning S. Fadnavis Joshua D. Batson Eleftherios Garyfallidis DiffM 93 105 0 02 Nov 2020
Self-Supervised Training For Low Dose CT Reconstruction Mehmet Ozan Unal M. Ertas I. Yildirim OOD 44 12 0 25 Oct 2020
Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy S. Mohan R. Manzorro Joshua L. Vincent Binh Tang D. Y. Sheth Eero P. Simoncelli David S. Matteson Peter A Crozier C. Fernandez‐Granda 91 29 0 24 Oct 2020
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising Yaochen Xie Zhengyang Wang Shuiwang Ji 131 118 0 22 Oct 2020
Enhancing and Learning Denoiser without Clean Reference Rui Zhao D. Lun K. Lam DiffM 49 6 0 09 Sep 2020
Plug-and-Play Image Restoration with Deep Denoiser Prior Peng Sun Yawei Li W. Zuo Lei Zhang Luc Van Gool Radu Timofte DiffM SupR 140 813 0 31 Aug 2020