v1v2v3 (latest)

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models

5 October 2023

Ulugbek S. Kamilov

Papers citing "Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models"

34 / 34 papers shown

Title
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration Haoran Wang Jing Zhang Haonan Guo Di Wang Jiayi Ma Bo Du 173 0 0 30 Apr 2025
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems Teresa Klatzer Savvas Melidonis Marcelo Pereyra K. Zygalakis 72 0 0 20 Mar 2025
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems Hyungjin Chung Jong Chul Ye DiffM 110 7 0 15 Jul 2024
Plug-and-Play image restoration with Stochastic deNOising REgularization Marien Renaud Jean Prost Arthur Leclaire Nicolas Papadakis DiffM 156 8 0 01 Feb 2024
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling Teresa Klatzer P. Dobson Y. Altmann Marcelo Pereyra J. Sanz-Serna K. Zygalakis 64 5 0 18 Aug 2023
Nearly $d$ -Linear Convergence Bounds for Diffusion Models via Stochastic Localization Joe Benton Valentin De Bortoli Arnaud Doucet George Deligiannidis DiffM 106 117 0 07 Aug 2023
Proximal Langevin Sampling With Inexact Proximal Mapping Matthias Joachim Ehrhardt Lorenz Kuger Carola-Bibiane Schönlieb 61 6 0 30 Jun 2023
Generative Plug and Play: Posterior Sampling for Inverse Problems Charles A. Bouman G. Buzzard 84 10 0 12 Jun 2023
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems Omer Belhasin Yaniv Romano Daniel Freedman Ehud Rivlin Michael Elad 105 25 0 17 May 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference Florentin Coeurdoux N. Dobigeon P. Chainais 64 19 0 21 Apr 2023
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration M. Delbracio P. Milanfar DiffM 127 122 0 20 Mar 2023
RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods Maciej Sypetkowski Morteza Rezanejad Saber Saberian Oren Z. Kraus John Urbanik ... Mason L. Victors J. Yosinski A. R. Sereshkeh I. Haque Berton Earnshaw 93 38 0 13 Jan 2023
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction Jiaming Liu Rushil Anirudh Jayaraman J. Thiagarajan Stewart He K. A. Mohan Ulugbek S. Kamilov Hyojin Kim MedIm DiffM 71 68 0 22 Nov 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions Hongrui Chen Holden Lee Jianfeng Lu DiffM 89 142 0 03 Nov 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 120 864 0 29 Sep 2022
Adaptive Diffusion Priors for Accelerated MRI Reconstruction Alper Gungor S. Dar cSaban Ozturk Yilmaz Korkmaz Gokberk Elmas Muzaffer Özbey Tolga cCukur DiffM MedIm 85 195 0 12 Jul 2022
Conditional Simulation Using Diffusion Schrödinger Bridges Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 106 58 0 27 Feb 2022
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization Samuel Hurault Arthur Leclaire Nicolas Papadakis 140 77 0 31 Jan 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 381 851 0 27 Jan 2022
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 123 533 0 15 Nov 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 96 112 0 08 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 359 3,741 0 18 Feb 2021
Plug-and-Play Image Restoration with Deep Denoiser Prior Peng Sun Yawei Li W. Zuo Lei Zhang Luc Van Gool Radu Timofte DiffM SupR 131 813 0 31 Aug 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 207 1,896 0 11 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 119 537 0 12 May 2020
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers Ernest K. Ryu Jialin Liu Sicheng Wang Xiaohan Chen Zhangyang Wang W. Yin AI4CE 89 354 0 14 May 2019
prDeep: Robust Phase Retrieval with a Flexible Deep Network Christopher A. Metzler Philip Schniter Ashok Veeraraghavan Richard G. Baraniuk OOD 110 172 0 01 Mar 2018
NETT: Solving Inverse Problems with Deep Neural Networks Housen Li Johannes Schwab Stephan Antholzer Markus Haltmeier 100 246 0 28 Feb 2018
A Review of Convolutional Neural Networks for Inverse Problems in Imaging Michael T. McCann Kyong Hwan Jin M. Unser 3DV 68 595 0 11 Oct 2017
Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau Alain Durmus Eric Moulines Marcelo Pereyra 88 176 0 22 Dec 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 78 2,128 0 11 Nov 2016
The Little Engine that Could: Regularization by Denoising (RED) Yaniv Romano Michael Elad P. Milanfar DiffM 125 805 0 09 Nov 2016
Theoretical guarantees for approximate sampling from smooth and log-concave densities A. Dalalyan 120 516 0 23 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 270 8,442 0 28 Nov 2014