Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise

11 October 2023

Papers citing "Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise"

34 / 34 papers shown

Title
Image Denoising and the Generative Accumulation of Photons Alexander Krull H. Basevi Benjamin Salmon A. Zeug F. Muller Samuel Tonks Leela Muppala A. Leonardis DiffM 41 7 0 13 Jul 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data Giannis Daras Kulin Shah Y. Dagan Aravind Gollakota A. Dimakis Adam R. Klivans DiffM 94 75 0 30 May 2023
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data Asad Aali Marius Arvinte Sidharth Kumar Jonathan I. Tamir DiffM MedIm 77 33 0 02 May 2023
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper -- Michael Elad Bahjat Kawar Gregory Vaksman 74 80 0 09 Jan 2023
N2V2 -- Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture Eva‐Maria Hock T. Buchholz Anselm Brachmann Florian Jug Alexander Freytag 42 14 0 15 Nov 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 111 857 0 29 Sep 2022
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network Wooseok Lee Sanghyun Son Kyoung Mu Lee 95 122 0 22 Mar 2022
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots Zejin Wang Jiazheng Liu Guoqing Li Hua Han SSL 77 129 0 14 Mar 2022
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 97 532 0 15 Nov 2021
Optimal Transport for Unsupervised Denoising Learning Wei Wang Fei Wen Zeyu Yan Peilin Liu OT 56 30 0 04 Aug 2021
Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging Junshen Xu E. Adalsteinsson MedIm 38 32 0 23 Jun 2021
Interpretable Unsupervised Diversity Denoising and Artefact Removal M. Prakash M. Delbracio P. Milanfar Florian Jug 78 34 0 03 Apr 2021
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 77 915 0 08 Jul 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 467 10,591 0 17 Feb 2020
Fully Unsupervised Probabilistic Noise2Void M. Prakash Manan Lalit P. Tomančák Alexander Krull Florian Jug DiffM 102 45 0 27 Nov 2019
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data N. Moran Dan Schmidt Yu Zhong Patrick Coady 122 238 0 25 Oct 2019
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising Alexander Krull Tomáš Vičar Florian Jug DiffM 73 167 0 03 Jun 2019
Noise2Self: Blind Denoising by Self-Supervision Joshua D. Batson Loic A. Royer 76 661 0 30 Jan 2019
High-Quality Self-Supervised Deep Image Denoising S. Laine Tero Karras J. Lehtinen Timo Aila 53 338 0 29 Jan 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 88 273 0 16 Jan 2019
A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images Yide Zhang Yinhao Zhu Evan L. Nichols Qingfei Wang Siyuan Zhang Cody J. Smith S. Howard 70 182 0 26 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 596 10,590 0 12 Dec 2018
Noise2Void - Learning Denoising from Single Noisy Images Alexander Krull T. Buchholz Florian Jug 105 1,106 0 27 Nov 2018
Unsupervised Learning with Stein's Unbiased Risk Estimator Christopher A. Metzler Ali Mousavi Reinhard Heckel Richard G. Baraniuk OOD 68 106 0 26 May 2018
Deep Learning using Rectified Linear Units (ReLU) Abien Fred Agarap 74 3,235 0 22 Mar 2018
Noise2Noise: Learning Image Restoration without Clean Data J. Lehtinen Jacob Munkberg J. Hasselgren S. Laine Tero Karras M. Aittala Timo Aila 88 1,608 0 12 Mar 2018
PixelVAE: A Latent Variable Model for Natural Images Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vazquez Aaron Courville DRL SSL BDL 80 340 0 15 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 152 676 0 08 Nov 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 209 2,517 0 16 Jun 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 97 915 0 06 Feb 2016
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 271 8,453 0 23 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 258 10,419 0 06 Nov 2014