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

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

29 May 2024

Bingliang Zhang

Katherine L. Bouman

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

15 / 15 papers shown

Title
Can Diffusion Models Provide Rigorous Uncertainty Quantification for Bayesian Inverse Problems? Evan Scope Crafts Umberto Villa 36 0 0 04 Mar 2025
Split Gibbs Discrete Diffusion Posterior Sampling Wenda Chu Yang Song Yisong Yue 29 1 0 03 Mar 2025
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Maitreya Patel Song Wen Dimitris N. Metaxas Yezhou Yang DiffM 105 3 0 27 Nov 2024
Diffusion State-Guided Projected Gradient for Inverse Problems Rayhan Zirvi Bahareh Tolooshams Anima Anandkumar DiffM 23 2 0 04 Oct 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 36 9 0 03 Oct 2024
A Survey on Diffusion Models for Inverse Problems Giannis Daras Hyungjin Chung Chieh-Hsin Lai Yuki Mitsufuji Jong Chul Ye P. Milanfar Alexandros G. Dimakis M. Delbracio MedIm 36 31 0 30 Sep 2024
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning P. Milanfar M. Delbracio AI4CE 58 9 0 10 Sep 2024
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration Shuchang Zhang Hui Zhang Hongxia Wang 45 0 0 18 Jul 2024
Fast and Robust Phase Retrieval via Deep Expectation-Consistent Approximation S. K. Shastri Philip Schniter 23 0 0 12 Jul 2024
Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers Tongda Xu Ziran Zhu Jian Li Dailan He Yuanyuan Wang ... Ning Li Hongwei Qin Yan Wang Jingjing Liu Ya-Qin Zhang DiffM 22 4 0 09 Feb 2024
Denoising Diffusion Models for Plug-and-Play Image Restoration Yuanzhi Zhu K. Zhang Jingyun Liang Jiezhang Cao B. Wen Radu Timofte Luc Van Gool DiffM 58 193 0 15 May 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy T. Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine L. Bouman William T. Freeman DiffM 74 85 0 23 Apr 2023
The split Gibbs sampler revisited: improvements to its algorithmic structure and augmented target distribution Marcelo Pereyra L. Mieles K. Zygalakis 20 6 0 28 Jun 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 204 770 0 27 Jan 2022
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018