Improving Diffusion Models for Inverse Problems using Manifold Constraints

2 June 2022

Papers citing "Improving Diffusion Models for Inverse Problems using Manifold Constraints"

47 / 97 papers shown

Title
Scalable Motion Style Transfer with Constrained Diffusion Generation Wenjie Yin Yi Yu Hang Yin Danica Kragic Mårten Björkman DiffM 19 3 0 12 Dec 2023
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance Yuto Enyo Ko Nishino 3DV 42 2 0 07 Dec 2023
Investigating the Design Space of Diffusion Models for Speech Enhancement Philippe Gonzalez Zheng-Hua Tan Jan Østergaard Jesper Jensen T. S. Alstrøm Tobias May DiffM 33 6 0 07 Dec 2023
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations Delaram Pirhayatifard Taha Toghani Guha Balakrishnan César A. Uribe DiffM 38 0 0 27 Nov 2023
JSMoCo: Joint Coil Sensitivity and Motion Correction in Parallel MRI with a Self-Calibrating Score-Based Diffusion Model Lixuan Chen Xuanyu Tian Jiangjie Wu Rui-jun Feng Guoyan Lao Yuyao Zhang Hongjiang Wei MedIm DiffM 64 2 0 14 Oct 2023
Application-driven Validation of Posteriors in Inverse Problems T. Adler Jan-Hinrich Nolke Annika Reinke M. Tizabi Sebastian Gruber ... Lynton Ardizzone Paul F. Jaeger Florian Buettner Ullrich Kothe Lena Maier-Hein MedIm 38 1 0 18 Sep 2023
A survey of manifold learning and its applications for multimedia Hannes Fassold 42 1 0 08 Sep 2023
Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction Kai Xu Shiyu Lu Bin Huang Weiwen Wu Qie-gen Liu DiffM 19 21 0 30 Aug 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry Yong-Hyun Park Mingi Kwon J. Choi Junghyo Jo Youngjung Uh DiffM 40 60 0 24 Jul 2023
Fast and Stable Diffusion Inverse Solver with History Gradient Update Linchao He Hongyu Yan Mengting Luo Hongjie Wu Kunming Luo ... Wenchao Du Hu Chen Hong-ling Yang Yan Zhang Jiancheng Lv MedIm 28 9 0 22 Jul 2023
Physics-Driven Turbulence Image Restoration with Stochastic Refinement Ajay Jaiswal Xingguang Zhang Stanley H. Chan Zhangyang Wang 29 21 0 20 Jul 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models Litu Rout Negin Raoof Giannis Daras C. Caramanis A. Dimakis Sanjay Shakkottai DiffM 47 93 0 02 Jul 2023
Drag-guided diffusion models for vehicle image generation Nikos Arechiga Frank Permenter Binyang Song Chenyang Yuan DiffM 37 12 0 16 Jun 2023
Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling Gongye Liu Haoze Sun Jiayi Li Fei Yin Yujiu Yang 35 19 0 26 May 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models Z. Y. Wan Ricardo Baptista Yi-fan Chen John R. Anderson Anudhyan Boral Fei Sha Leonardo Zepeda-Núñez DiffM 47 24 0 24 May 2023
Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Model Xiangyu Rui Xiangyong Cao Li Pang Zeyu Zhu Zongsheng Yue Deyu Meng DiffM 32 29 0 18 May 2023
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior Zongyu Li Jason Hu Xiaojian Xu Liyue Shen Jeffrey A. Fessler DiffM 24 3 0 12 May 2023
Exploiting Diffusion Prior for Real-World Image Super-Resolution Jianyi Wang Zongsheng Yue Shangchen Zhou Kelvin C. K. Chan Chen Change Loy 46 284 0 11 May 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference Florentin Coeurdoux N. Dobigeon P. Chainais 27 15 0 21 Apr 2023
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization Q. Gao Zilong Li Junping Zhang Yi Zhang Hongming Shan DiffM MedIm 33 49 0 04 Apr 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models Qinsheng Zhang Jiaming Song Xun Huang Yongxin Chen Xuan Li DiffM 31 82 0 30 Mar 2023
Unlimited-Size Diffusion Restoration Yinhuai Wang Jiwen Yu Runyi Yu Jian Zhang 50 15 0 01 Mar 2023
Universal Guidance for Diffusion Models Arpit Bansal Hong-Min Chu Avi Schwarzschild Soumyadip Sengupta Micah Goldblum Jonas Geiping Tom Goldstein VLM 54 244 0 14 Feb 2023
Don't Play Favorites: Minority Guidance for Diffusion Models Soo Bin Um Suhyeon Lee Jong Chul Ye DiffM 31 22 0 29 Jan 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods Suttisak Wizadwongsa Supasorn Suwajanakorn DiffM 43 12 0 27 Jan 2023
Diffusion Denoising for Low-Dose-CT Model Runyi Li DiffM MedIm 25 0 0 27 Jan 2023
Solving Inverse Physics Problems with Score Matching Benjamin Holzschuh S. Vegetti Nils Thuerey DiffM 13 10 0 24 Jan 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 34 0 0 20 Jan 2023
DifFace: Blind Face Restoration with Diffused Error Contraction Zongsheng Yue Chen Change Loy DiffM 37 70 0 13 Dec 2022
Multiscale Structure Guided Diffusion for Image Deblurring Mengwei Ren M. Delbracio Hossein Talebi Guido Gerig P. Milanfar DiffM 21 59 0 04 Dec 2022
Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction Bing Guan Cailian Yang Liu Zhang S. Niu Minghui Zhang Yuhao Wang Weiwen Wu Qiegen Liu DiffM MedIm 38 41 0 25 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 14 52 0 20 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 49 358 0 14 Nov 2022
Unsupervised vocal dereverberation with diffusion-based generative models Koichi Saito Naoki Murata Toshimitsu Uesaka Chieh-Hsin Lai Yuhta Takida Takao Fukui Yuki Mitsufuji DiffM 47 23 0 08 Nov 2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Yogesh Balaji Seungjun Nah Xun Huang Arash Vahdat Jiaming Song ... Timo Aila S. Laine Bryan Catanzaro Tero Karras Xuan Li VLM MoE 76 804 0 02 Nov 2022
Quantized Compressed Sensing with Score-based Generative Models Xiangming Meng Y. Kabashima DiffM 32 11 0 02 Nov 2022
Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution Chin-Yun Yu Sung-Lin Yeh Gyorgy Fazekas Hao Tang DiffM 40 20 0 27 Oct 2022
Solving Audio Inverse Problems with a Diffusion Model Eloi Moliner J. Lehtinen Vesa Valimaki DiffM 31 50 0 27 Oct 2022
ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors Chenjie Cao Qiaole Dong Yanwei Fu 38 30 0 12 Oct 2022
Denoising MCMC for Accelerating Diffusion-Based Generative Models Beomsu Kim Jong Chul Ye DiffM 52 13 0 29 Sep 2022
Soft Diffusion: Score Matching for General Corruptions Giannis Daras M. Delbracio Hossein Talebi A. Dimakis P. Milanfar DiffM 66 106 0 12 Sep 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 220 787 0 27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 233 1,355 0 24 Jan 2022
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 191 83 0 15 Feb 2021
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network Haoyu Wei Florian Schiffers Tobias Würfl Daming Shen Daniel Kim Aggelos K. Katsaggelos O. Cossairt 34 19 0 08 Dec 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 306 10,368 0 12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,455 0 21 Nov 2016