Score-Based Diffusion Models as Principled Priors for Inverse Imaging

23 April 2023

Michael Rubinstein

Papers citing "Score-Based Diffusion Models as Principled Priors for Inverse Imaging"

27 / 27 papers shown

Title
Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast J. T. Wang Jie Chao S. M. I. Simon X. Yang Congyi Nai Kaijun Ren ... Ziniu Xiao Lifeng Zhang Xiaodong Wang Jiping Guan Baoxiang Pan 40 0 0 07 May 2025
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion Rana Muhammad Shahroz Khan Dongwen Tang Pingzhi Li Kai Wang Tianlong Chen AI4CE 136 0 0 31 Mar 2025
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior Tongda Xu Xiyan Cai X. Zhang Xingtong Ge Dailan He Ming Sun Jingjing Liu Y. Zhang Jian Li Yan Wang DiffM 120 1 0 31 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 59 0 0 03 Jan 2025
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs Severi Rissanen Markus Heinonen Arno Solin DiffM 108 0 0 15 Oct 2024
Towards Unsupervised Blind Face Restoration using Diffusion Prior Tianshu Kuai Sina Honari Igor Gilitschenski Alex Levinshtein DiffM 33 0 0 06 Oct 2024
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing Bingliang Zhang Wenda Chu Julius Berner Chenlin Meng Anima Anandkumar Yang Song DiffM 36 26 0 01 Jul 2024
Active Diffusion Subsampling Oisin Nolan Tristan S. W. Stevens Wessel L. van Nierop Ruud J. G. van Sloun DiffM MedIm 32 2 0 20 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 68 24 0 31 May 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 75 7 0 29 May 2024
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors Zihui Wu Yu Sun Yifan Chen Bingliang Zhang Yisong Yue Katherine L. Bouman DiffM 27 20 0 29 May 2024
Efficient Prior Calibration From Indirect Data O. Deniz Akyildiz M. Girolami Andrew M. Stuart A. Vadeboncoeur 38 1 0 28 May 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees E. Nehme Rotem Mulayoff T. Michaeli UQCV 36 2 0 24 May 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation Hongwei Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb SSL 67 1 0 08 Apr 2024
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems Hossein Askari Fred Roosta Hongfu Sun MedIm DiffM 30 3 0 04 Apr 2024
Invertible Diffusion Models for Compressed Sensing Bin Chen Zhenyu Zhang Weiqi Li Chen Zhao Jiwen Yu Shijie Zhao Jie Chen Jian Andrew Zhang DiffM 47 5 0 25 Mar 2024
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Asad Aali Giannis Daras Brett Levac Sidharth Kumar Alexandros G. Dimakis Jonathan I. Tamir MedIm 64 9 0 13 Mar 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos Sammy N. Sharief Nikolay Malkin Laurence Perreault Levasseur Y. Hezaveh Laurence Perreault-Levasseur Yashar Hezaveh 21 3 0 06 Feb 2024
Bayesian Imaging for Radio Interferometry with Score-Based Priors Noé Dia M. J. Yantovski-Barth Alexandre Adam Micah Bowles Pablo Lemos A. Scaife Y. Hezaveh Laurence Perreault Levasseur 21 4 0 29 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 28 11 0 22 Oct 2023
Removing Structured Noise with Diffusion Models Tristan S.W. Stevens Hans van Gorp F. C. Meral Junseob Shin Jason Yu Jean-Luc Robert Ruud J. G. van Sloun DiffM 29 0 0 20 Jan 2023
Stable Deep MRI Reconstruction using Generative Priors Martin Zach Florian Knoll T. Pock OOD MedIm DiffM 29 17 0 25 Oct 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 212 778 0 27 Jan 2022
Deep Image Deblurring: A Survey Kaihao Zhang Wenqi Ren Wenhan Luo Wei-Sheng Lai B. Stenger Ming-Hsuan Yang Hongdong Li 84 237 0 26 Jan 2022
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 230 2,545 0 25 Jan 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012