Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning

10 September 2024

Papers citing "Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning"

32 / 32 papers shown

Title
Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration Guy Ohayon T. Michaeli Michael Elad 103 8 0 01 Oct 2024
Active Diffusion Subsampling Oisin Nolan Tristan S. W. Stevens Wessel L. van Nierop Ruud J. G. van Sloun DiffM MedIm 62 3 0 20 Jun 2024
Factorized Diffusion: Perceptual Illusions by Noise Decomposition Daniel Geng Inbum Park Andrew Owens DiffM 81 16 0 17 Apr 2024
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling Elhadji C. Faye Mame Diarra Fall N. Dobigeon 70 4 0 19 Feb 2024
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 163 12 0 19 Oct 2023
Prompt-tuning latent diffusion models for inverse problems Hyungjin Chung Jong Chul Ye P. Milanfar M. Delbracio DiffM 76 43 0 02 Oct 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine Bouman William T. Freeman DiffM 119 96 0 23 Apr 2023
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 111 844 0 29 Sep 2022
PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization Fabian Altekrüger Alexander Denker Paul Hagemann J. Hertrich Peter Maass Gabriele Steidl MedIm 50 26 0 24 May 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 272 836 0 27 Jan 2022
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 85 338 0 03 Aug 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models Haoying Li Yifan Yang Meng Chang H. Feng Zhi-hai Xu Qi Li Yue-ting Chen DiffM 67 634 0 30 Apr 2021
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms M. Holden Marcelo Pereyra K. Zygalakis MedIm 37 28 0 18 Mar 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 62 112 0 08 Mar 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 338 6,480 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 275 7,384 0 06 Oct 2020
Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation Caroline L. Wormell Sebastian Reich 43 39 0 03 Jun 2020
Deep Learning on Image Denoising: An overview Chunwei Tian Lunke Fei Wenxian Zheng Yong-mei Xu W. Zuo Chia-Wen Lin 205 832 0 31 Dec 2019
Online Regularization by Denoising with Applications to Phase Retrieval Zihui Wu Yu Sun Jiaming Liu Ulugbek S. Kamilov 36 32 0 04 Sep 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,916 0 12 Jul 2019
Full-Gradient Representation for Neural Network Visualization Suraj Srinivas François Fleuret MILM FAtt 77 274 0 02 May 2019
Reducing Anomaly Detection in Images to Detection in Noise Axel Davy T. Ehret Jean-Michel Morel M. Delbracio 41 21 0 25 Apr 2019
Image Anomalies: a Review and Synthesis of Detection Methods T. Ehret Axel Davy Jean-Michel Morel M. Delbracio 40 48 0 07 Aug 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 377 11,795 0 11 Jan 2018
The Perception-Distortion Tradeoff Yochai Blau T. Michaeli SupR 123 814 0 16 Nov 2017
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging Cecilia Aguerrebere Andrés Almansa J. Delon Y. Gousseau Pablo Musé 34 37 0 10 Jun 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,693 0 15 Sep 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 234 10,249 0 27 Mar 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 301 6,949 0 12 Mar 2015
Boosting of Image Denoising Algorithms Yaniv Romano Michael Elad 64 143 0 22 Feb 2015
First order algorithms in variational image processing Martin Burger Alex Sawatzky Gabriele Steidl 130 82 0 13 Dec 2014
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity Guoshen Yu Guillermo Sapiro S. Mallat 110 610 0 15 Jun 2010