Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

29 May 2024

Papers citing "Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors"

35 / 35 papers shown

Title
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems Jeffrey Alido Tongyu Li Yu Sun Lei Tian DiffM MedIm 57 0 0 15 May 2025
Split Gibbs Discrete Diffusion Posterior Sampling Wenda Chu Zihui Wu Yifan Chen Yang Song Yisong Yue 62 2 0 03 Mar 2025
Diffusion State-Guided Projected Gradient for Inverse Problems Rayhan Zirvi Bahareh Tolooshams Anima Anandkumar DiffM 106 4 0 04 Oct 2024
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration Shuchang Zhang Hui Zhang Hongxia Wang 81 0 0 18 Jul 2024
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction Xingyu Xu Yuejie Chi DiffM 66 25 0 25 Mar 2024
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling Elhadji C. Faye Mame Diarra Fall N. Dobigeon 65 4 0 19 Feb 2024
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 60 12 0 22 Oct 2023
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models Luhuan Wu Brian L. Trippe C. A. Naesseth David M. Blei John P. Cunningham DiffM 87 94 0 30 Jun 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 105 96 0 23 Apr 2023
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model Yinhuai Wang Jiwen Yu Jian Zhang DiffM 95 449 0 01 Dec 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 105 836 0 29 Sep 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 169 1,967 0 01 Jun 2022
Perception Prioritized Training of Diffusion Models Jooyoung Choi Jungbeom Lee Chaehun Shin Sungwon Kim Hyunwoo J. Kim Sung-Hoon Yoon DiffM 78 247 0 01 Apr 2022
Improved analysis for a proximal algorithm for sampling Yongxin Chen Sinho Chewi Adil Salim Andre Wibisono 92 57 0 13 Feb 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 267 829 0 27 Jan 2022
Probabilistic Mass Mapping with Neural Score Estimation B. Remy F. Lanusse N. Jeffrey Jia-Wei Liu Jean-Luc Starck K. Osato T. Schrabback DiffM 39 25 0 14 Jan 2022
Conditional Image Generation with Score-Based Diffusion Models Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb Christian Etmann DiffM 38 191 0 26 Nov 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song Liyue Shen Lei Xing Stefano Ermon DiffM SyDa OffRL MedIm 87 526 0 15 Nov 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 76 420 0 08 Oct 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 118 717 0 06 Aug 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 80 337 0 03 Aug 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 51 112 0 08 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 319 3,675 0 18 Feb 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 323 6,444 0 26 Nov 2020
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging He Sun Katherine Bouman UQCV 47 73 0 27 Oct 2020
Structured Logconcave Sampling with a Restricted Gaussian Oracle Y. Lee Ruoqi Shen Kevin Tian 50 70 0 07 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 239 7,350 0 06 Oct 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 89 800 0 31 Aug 2020
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices Santosh Vempala Andre Wibisono 79 264 0 20 Mar 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 547 10,551 0 12 Dec 2018
Split-and-augmented Gibbs sampler - Application to large-scale inference problems Maxime Vono N. Dobigeon P. Chainais 43 54 0 16 Apr 2018
prDeep: Robust Phase Retrieval with a Flexible Deep Network Christopher A. Metzler Philip Schniter Ashok Veeraraghavan Richard G. Baraniuk OOD 74 169 0 01 Mar 2018
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems Tim Meinhardt Michael Möller C. Hazirbas Daniel Cremers 63 356 0 11 Apr 2017
Learning Deep CNN Denoiser Prior for Image Restoration Peng Sun W. Zuo Shuhang Gu Lei Zhang SupR 141 1,845 0 11 Apr 2017
$Phase Retrieval from Coded Diffraction Patterns$ Phase Retrieval from Coded Diffraction Patterns Emmanuel Candes Xiaodong Li Mahdi Soltanolkotabi 68 376 0 11 Oct 2013