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A Variational Perspective on Solving Inverse Problems with Diffusion
  Models

A Variational Perspective on Solving Inverse Problems with Diffusion Models

7 May 2023
Morteza Mardani
Jiaming Song
Jan Kautz
Arash Vahdat
    DiffM
ArXivPDFHTML

Papers citing "A Variational Perspective on Solving Inverse Problems with Diffusion Models"

50 / 81 papers shown
Title
LatentINDIGO: An INN-Guided Latent Diffusion Algorithm for Image Restoration
LatentINDIGO: An INN-Guided Latent Diffusion Algorithm for Image Restoration
Di You
Daniel Siromani
Pier Luigi Dragotti
17
0
0
19 May 2025
Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian Prior
Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian Prior
Chin-Yun Yu
Marco A. Martínez-Ramírez
Junghyun Koo
Wei-Hsiang Liao
Yuki Mitsufuji
Gyorgy Fazekas
24
0
0
16 May 2025
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
Jeffrey Alido
Tongyu Li
Yu Sun
Lei Tian
DiffM
MedIm
19
0
0
15 May 2025
Diffusion Bridge Models for 3D Medical Image Translation
Diffusion Bridge Models for 3D Medical Image Translation
Shaorong Zhang
Tamoghna Chattopadhyay
Sophia I Thomopoulos
J. Ambite
P. Thompson
Greg Ver Steeg
MedIm
36
0
0
21 Apr 2025
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Michal Balcerak
Tamaz Amiranashvili
Suprosanna Shit
Antonio Terpin
Sebastian Kaltenbach
Petros Koumoutsakos
Bjoern H. Menze
DiffM
32
1
0
14 Apr 2025
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation
Jiawei Zhang
Ziyuan Liu
Leon Yan
Gen Li
Yuantao Gu
59
0
0
13 Mar 2025
Split Gibbs Discrete Diffusion Posterior Sampling
Wenda Chu
Yang Song
Yisong Yue
39
1
0
03 Mar 2025
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
Tongda Xu
Xiyan Cai
Jiahui Geng
Xingtong Ge
Dailan He
Ming Sun
Jingjing Liu
Y. Zhang
Jian Li
Yan Wang
DiffM
120
3
0
31 Jan 2025
DPBridge: Latent Diffusion Bridge for Dense Prediction
DPBridge: Latent Diffusion Bridge for Dense Prediction
Haorui Ji
Taojun Lin
Hongdong Li
DiffM
53
1
0
29 Dec 2024
Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors:
  Diverse-Resolution Training Outperforms Interpolation
Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors: Diverse-Resolution Training Outperforms Interpolation
Anselm Krainovic
Stefan Ruschke
Reinhard Heckel
MedIm
23
0
0
24 Dec 2024
OFTSR: One-Step Flow for Image Super-Resolution with Tunable
  Fidelity-Realism Trade-offs
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
Yuanzhi Zhu
R. Wang
Shilin Lu
Junnan Li
Hanshu Yan
Peng Sun
SupR
89
3
0
12 Dec 2024
Enhancing and Accelerating Diffusion-Based Inverse Problem Solving
  through Measurements Optimization
Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization
Tianyu Chen
Zhendong Wang
Mingyuan Zhou
86
1
0
05 Dec 2024
Constrained Diffusion with Trust Sampling
William Huang
Yifeng Jiang
Tom Van Wouwe
Chenxi Liu
40
3
0
17 Nov 2024
Enhancing Diffusion Posterior Sampling for Inverse Problems by
  Integrating Crafted Measurements
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements
Shijie Zhou
Huaisheng Zhu
Rohan Sharma
R. Zhang
Kaiyi Ji
Changyou Chen
34
0
0
15 Nov 2024
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion
  Models
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
Giannis Daras
Weili Nie
Karsten Kreis
A. Dimakis
Morteza Mardani
Nikola B. Kovachki
Arash Vahdat
DiffM
35
5
0
21 Oct 2024
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Severi Rissanen
Markus Heinonen
Arno Solin
DiffM
161
0
0
15 Oct 2024
Variational Diffusion Posterior Sampling with Midpoint Guidance
Variational Diffusion Posterior Sampling with Midpoint Guidance
Badr Moufad
Yazid Janati
Lisa Bedin
Alain Durmus
Randal Douc
Eric Moulines
Jimmy Olsson
DiffM
35
1
0
13 Oct 2024
Exploring Behavior-Relevant and Disentangled Neural Dynamics with
  Generative Diffusion Models
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
Yule Wang
Chengrui Li
Weihan Li
Anqi Wu
DiffM
39
4
0
12 Oct 2024
G2D2: Gradient-guided Discrete Diffusion for image inverse problem
  solving
G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving
Naoki Murata
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
Bac Nguyen
Stefano Ermon
Yuki Mitsufuji
DiffM
65
1
0
09 Oct 2024
Toward General Object-level Mapping from Sparse Views with 3D Diffusion
  Priors
Toward General Object-level Mapping from Sparse Views with 3D Diffusion Priors
Ziwei Liao
Binbin Xu
Steven L. Waslander
DiffM
34
3
0
07 Oct 2024
Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side
  Information
Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information
Timofey Efimov
Harry Dong
M. Shah
Jeff P. Simmons
S. Donegan
Yuejie Chi
DiffM
MedIm
27
0
0
07 Oct 2024
Configurable Multilingual ASR with Speech Summary Representations
Configurable Multilingual ASR with Speech Summary Representations
Harrison Zhu
Ivan Fung
Yingke Zhu
Lahiru Samarakoon
29
0
0
06 Oct 2024
The Visualization JUDGE : Can Multimodal Foundation Models Guide
  Visualization Design Through Visual Perception?
The Visualization JUDGE : Can Multimodal Foundation Models Guide Visualization Design Through Visual Perception?
Matthew Berger
Shusen Liu
36
1
0
05 Oct 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
Ségolène Martin
Anne Gagneux
Paul Hagemann
Gabriele Steidl
42
9
0
03 Oct 2024
A Survey on Diffusion Models for Inverse Problems
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
49
39
0
30 Sep 2024
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse
  Problems
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems
Hongkai Zheng
Wenda Chu
Austin Wang
Nikola B. Kovachki
Ricardo Baptista
Yisong Yue
34
4
0
30 Sep 2024
Underwater Image Enhancement with Physical-based Denoising Diffusion
  Implicit Models
Underwater Image Enhancement with Physical-based Denoising Diffusion Implicit Models
Nguyen Gia Bach
Chanh Minh Tran
Eiji Kamioka
Phan Xuan Tan
29
0
0
27 Sep 2024
Physics-aligned Schrödinger bridge
Physics-aligned Schrödinger bridge
Zeyu Li
Hongkun Dou
Shen Fang
Wang Han
Yue Deng
Lijun Yang
AI4CE
DiffM
30
0
0
26 Sep 2024
Think Twice Before You Act: Improving Inverse Problem Solving With MCMC
Think Twice Before You Act: Improving Inverse Problem Solving With MCMC
Y. Zhu
Zehao Dou
Haoxin Zheng
Yasi Zhang
Ying Nian Wu
Ruiqi Gao
DiffM
33
6
0
13 Sep 2024
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and
  Machine Learning
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning
P. Milanfar
M. Delbracio
AI4CE
67
9
0
10 Sep 2024
Diff-INR: Generative Regularization for Electrical Impedance Tomography
Diff-INR: Generative Regularization for Electrical Impedance Tomography
Bowen Tong
Junwu Wang
Dong Liu
DiffM
MedIm
45
2
0
06 Sep 2024
A Score-Based Density Formula, with Applications in Diffusion Generative
  Models
A Score-Based Density Formula, with Applications in Diffusion Generative Models
Gen Li
Yuling Yan
DiffM
56
0
0
29 Aug 2024
Reference-free Axial Super-resolution of 3D Microscopy Images using
  Implicit Neural Representation with a 2D Diffusion Prior
Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior
Kyungryun Lee
Won-Ki Jeong
MedIm
43
2
0
16 Aug 2024
Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models
Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models
Jean-Marie Lemercier
Eloi Moliner
Simon Welker
Vesa Valimaki
Timo Gerkmann
54
2
0
14 Aug 2024
Inverse Problems with Diffusion Models: A MAP Estimation Perspective
Inverse Problems with Diffusion Models: A MAP Estimation Perspective
Sai Bharath Chandra Gutha
Hossein Azizpour
Ricardo Vinuesa
DiffM
30
2
0
27 Jul 2024
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse
  Problems
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
Sojin Lee
Dogyun Park
Inho Kong
Hyunwoo J. Kim
DiffM
40
2
0
23 Jul 2024
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion
  Models in Inverse Problems
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems
Yasar Utku Alçalar
Mehmet Akçakaya
DiffM
42
3
0
16 Jul 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Noam Elata
T. Michaeli
Michael Elad
DiffM
MedIm
29
9
0
11 Jul 2024
Image-Conditional Diffusion Transformer for Underwater Image Enhancement
Image-Conditional Diffusion Transformer for Underwater Image Enhancement
Xingyang Nie
Su Pan
Xiaoyu Zhai
Shifei Tao
Fengzhong Qu
Biao Wang
Huilin Ge
Guojie Xiao
41
2
0
07 Jul 2024
Improving Diffusion Inverse Problem Solving with Decoupled Noise
  Annealing
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
Bingliang Zhang
Wenda Chu
Julius Berner
Chenlin Meng
Anima Anandkumar
Yang Song
DiffM
46
27
0
01 Jul 2024
Diffusion Models and Representation Learning: A Survey
Diffusion Models and Representation Learning: A Survey
Michael Fuest
Pingchuan Ma
Ming Gui
Johannes S. Fischer
Vincent Tao Hu
Bjorn Ommer
DiffM
36
20
0
30 Jun 2024
Posterior Sampling with Denoising Oracles via Tilted Transport
Posterior Sampling with Denoising Oracles via Tilted Transport
Joan Bruna
Jiequn Han
DiffM
MedIm
38
4
0
30 Jun 2024
Conditional score-based diffusion models for solving inverse problems in
  mechanics
Conditional score-based diffusion models for solving inverse problems in mechanics
Agnimitra Dasgupta
Harisankar Ramaswamy
Javier Murgoitio-Esandi
Ken Foo
Runze Li
Qifa Zhou
Brendan Kennedy
Assad A. Oberai
DiffM
MedIm
45
2
0
19 Jun 2024
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
Peter Manshausen
Y. Cohen
Jaideep Pathak
Jaideep Pathak
Piyush Garg
Morteza Mardani
K. Kashinath
Simon Byrne
Noah D. Brenowitz
Noah Brenowitz
55
10
0
19 Jun 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
Jiawei Zhang
Jiaxin Zhuang
Cheng Jin
Gen Li
Yuantao Gu
DiffM
76
1
0
11 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control
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
70
25
0
31 May 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
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
83
7
0
29 May 2024
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play
  Priors
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
Zihui Wu
Yu Sun
Yifan Chen
Bingliang Zhang
Yisong Yue
Katherine Bouman
DiffM
34
21
0
29 May 2024
Fast Samplers for Inverse Problems in Iterative Refinement Models
Fast Samplers for Inverse Problems in Iterative Refinement Models
Kushagra Pandey
Ruihan Yang
Stephan Mandt
DiffM
52
3
0
27 May 2024
Conditioning diffusion models by explicit forward-backward bridging
Conditioning diffusion models by explicit forward-backward bridging
Adrien Corenflos
Zheng Zhao
Simo Särkkä
Jens Sjölund
Thomas B. Schon
DiffM
58
5
0
22 May 2024
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