v1v2v3 (latest)

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

International Conference on Learning Representations (ICLR), 2023

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 Jian Shu Jing Zhang Haonan Guo Haiyan Zhao Jiayi Ma Bo Du 325 1 0 30 Apr 2025
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems Teresa Klatzer Savvas Melidonis Marcelo Pereyra K. Zygalakis 194 3 0 20 Mar 2025
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems Hyungjin Chung Jong Chul Ye DiffM 254 14 0 15 Jul 2024
Plug-and-Play image restoration with Stochastic deNOising REgularization Marien Renaud Jean Prost Arthur Leclaire Nicolas Papadakis DiffM 421 16 0 01 Feb 2024
Accelerated Bayesian imaging by relaxed proximal-point Langevin samplingSIAM Journal of Imaging Sciences (JSIS), 2023 Teresa Klatzer P. Dobson Y. Altmann Marcelo Pereyra J. Sanz-Serna K. Zygalakis 132 5 0 18 Aug 2023
Nearly $d$ -Linear Convergence Bounds for Diffusion Models via Stochastic LocalizationInternational Conference on Learning Representations (ICLR), 2023 Joe Benton Valentin De Bortoli Arnaud Doucet George Deligiannidis DiffM 292 162 0 07 Aug 2023
Proximal Langevin Sampling With Inexact Proximal MappingSIAM Journal of Imaging Sciences (JSIS), 2023 Matthias Joachim Ehrhardt Lorenz Kuger Carola-Bibiane Schönlieb 150 7 0 30 Jun 2023
Generative Plug and Play: Posterior Sampling for Inverse ProblemsAllerton Conference on Communication, Control, and Computing (Allerton), 2023 Charles A. Bouman G. Buzzard 137 14 0 12 Jun 2023
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration ProblemsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Omer Belhasin Yaniv Romano Daniel Freedman Ehud Rivlin Michael Elad 221 30 0 17 May 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inferenceIEEE Transactions on Image Processing (IEEE TIP), 2023 Florentin Coeurdoux N. Dobigeon P. Chainais 178 28 0 21 Apr 2023
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration M. Delbracio P. Milanfar DiffM 438 160 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 171 46 0 13 Jan 2023
DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT ReconstructionIEEE International Conference on Computer Vision (ICCV), 2022 Jiaming Liu Rushil Anirudh Jayaraman J. Thiagarajan Stewart He K. A. Mohan Ulugbek S. Kamilov Hyojin Kim MedIm DiffM 138 96 0 22 Nov 2022
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness AssumptionsInternational Conference on Machine Learning (ICML), 2022 Hongrui Chen Holden Lee Jianfeng Lu DiffM 183 178 0 03 Nov 2022
Diffusion Posterior Sampling for General Noisy Inverse ProblemsInternational Conference on Learning Representations (ICLR), 2022 Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 507 1,181 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 242 240 0 12 Jul 2022
Conditional Simulation Using Diffusion Schrödinger BridgesConference on Uncertainty in Artificial Intelligence (UAI), 2022 Yuyang Shi Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 180 70 0 27 Feb 2022
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex RegularizationInternational Conference on Machine Learning (ICML), 2022 Samuel Hurault Arthur Leclaire Nicolas Papadakis 324 103 0 31 Jan 2022
Denoising Diffusion Restoration ModelsNeural Information Processing Systems (NeurIPS), 2022 Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 794 1,050 0 27 Jan 2022
Solving Inverse Problems in Medical Imaging with Score-Based Generative ModelsInternational Conference on Learning Representations (ICLR), 2021 Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 364 630 0 15 Nov 2021
Bayesian imaging using Plug & Play priors: when Langevin meets TweedieSIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2021 R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 480 136 0 08 Mar 2021
Improved Denoising Diffusion Probabilistic ModelsInternational Conference on Machine Learning (ICML), 2021 Alex Nichol Prafulla Dhariwal DiffM 548 4,581 0 18 Feb 2021
Plug-and-Play Image Restoration with Deep Denoiser PriorIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Lucas Beerens Yawei Li W. Zuo Lei Zhang Luc Van Gool Radu Timofte DiffM SupR 377 1,007 0 31 Aug 2020
Training Generative Adversarial Networks with Limited DataNeural Information Processing Systems (NeurIPS), 2020 Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 472 2,085 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 313 598 0 12 May 2020
Plug-and-Play Methods Provably Converge with Properly Trained DenoisersInternational Conference on Machine Learning (ICML), 2019 Ernest K. Ryu Jialin Liu Sicheng Wang Xiaohan Chen Zinan Lin W. Yin AI4CE 239 400 0 14 May 2019
prDeep: Robust Phase Retrieval with a Flexible Deep NetworkInternational Conference on Machine Learning (ICML), 2018 Christopher A. Metzler Philip Schniter Ashok Veeraraghavan Richard G. Baraniuk OOD 296 186 0 01 Mar 2018
NETT: Solving Inverse Problems with Deep Neural NetworksInverse Problems (IP), 2018 Housen Li Johannes Schwab Stephan Antholzer Markus Haltmeier 238 263 0 28 Feb 2018
A Review of Convolutional Neural Networks for Inverse Problems in Imaging Michael T. McCann Kyong Hwan Jin M. Unser 3DV 165 624 0 11 Oct 2017
Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets MoreauSIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2016 Alain Durmus Eric Moulines Marcelo Pereyra 167 193 0 22 Dec 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 129 2,253 0 11 Nov 2016
The Little Engine that Could: Regularization by Denoising (RED) Yaniv Romano Michael Elad P. Milanfar DiffM 295 892 0 09 Nov 2016
Theoretical guarantees for approximate sampling from smooth and log-concave densities A. Dalalyan 559 545 0 23 Dec 2014
Deep Learning Face Attributes in the WildIEEE International Conference on Computer Vision (ICCV), 2014 Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 1.2K 9,090 0 28 Nov 2014