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Solving Linear Inverse Problems Provably via Posterior Sampling with
  Latent Diffusion Models

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models

2 July 2023
Litu Rout
Negin Raoof
Giannis Daras
C. Caramanis
A. Dimakis
Sanjay Shakkottai
    DiffM
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Papers citing "Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models"

50 / 72 papers shown
Title
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
H. Wang
Jing Zhang
Haonan Guo
Di Wang
Jiayi Ma
Bo Du
58
0
0
30 Apr 2025
Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing
Chen Liao
Yan Shen
Dan Li
Zhongli Wang
61
0
0
11 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
X. Zhang
Xingtong Ge
Dailan He
Ming Sun
Jingjing Liu
Y. Zhang
Jian Li
Yan Wang
DiffM
117
1
0
31 Jan 2025
Solving Inverse Problems via Diffusion Optimal Control
Solving Inverse Problems via Diffusion Optimal Control
Henry Li
Marcus Pereira
64
0
0
21 Dec 2024
Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion
Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion
Massimiliano Viola
Kevin Qu
Nando Metzger
B. Ke
Alexander Becker
Konrad Schindler
Anton Obukhov
VLM
MDE
91
3
0
18 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
62
0
0
05 Dec 2024
Driving Scene Synthesis on Free-form Trajectories with Generative Prior
Driving Scene Synthesis on Free-form Trajectories with Generative Prior
Zeyu Yang
Zijie Pan
Yuankun Yang
Xiatian Zhu
L. Zhang
VGen
67
1
0
02 Dec 2024
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
Taesung Kwon
Jong Chul Ye
80
1
0
29 Nov 2024
Steering Rectified Flow Models in the Vector Field for Controlled Image
  Generation
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
Maitreya Patel
Song Wen
Dimitris N. Metaxas
Yezhou Yang
DiffM
107
3
0
27 Nov 2024
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis
Hyojun Go
Byeongjun Park
Jiho Jang
Jin-Young Kim
Soonwoo Kwon
Changick Kim
3DGS
111
2
0
25 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
18
0
0
15 Nov 2024
Fast constrained sampling in pre-trained diffusion models
Fast constrained sampling in pre-trained diffusion models
Alexandros Graikos
Nebojsa Jojic
Dimitris Samaras
DiffM
25
1
0
24 Oct 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
33
5
0
21 Oct 2024
Active inference and deep generative modeling for cognitive ultrasound
Active inference and deep generative modeling for cognitive ultrasound
Ruud JG van Sloun
MedIm
24
2
0
17 Oct 2024
Constrained Posterior Sampling: Time Series Generation with Hard
  Constraints
Constrained Posterior Sampling: Time Series Generation with Hard Constraints
Sai Shankar Narasimhan
Shubhankar Agarwal
Litu Rout
Sanjay Shakkottai
Sandeep P. Chinchali
DiffM
AI4TS
24
0
0
16 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
20
1
0
13 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
51
1
0
09 Oct 2024
Towards Unsupervised Blind Face Restoration using Diffusion Prior
Towards Unsupervised Blind Face Restoration using Diffusion Prior
Tianshu Kuai
Sina Honari
Igor Gilitschenski
Alex Levinshtein
DiffM
31
0
0
06 Oct 2024
Configurable Multilingual ASR with Speech Summary Representations
Configurable Multilingual ASR with Speech Summary Representations
Harrison Zhu
Ivan Fung
Yingke Zhu
Lahiru Samarakoon
18
6
0
06 Oct 2024
Online Posterior Sampling with a Diffusion Prior
Online Posterior Sampling with a Diffusion Prior
B. Kveton
Boris Oreshkin
Youngsuk Park
Aniket Deshmukh
Rui Song
DiffM
27
0
0
04 Oct 2024
Diffusion State-Guided Projected Gradient for Inverse Problems
Diffusion State-Guided Projected Gradient for Inverse Problems
Rayhan Zirvi
Bahareh Tolooshams
Anima Anandkumar
DiffM
28
2
0
04 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
39
31
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
19
4
0
30 Sep 2024
Conditional Image Synthesis with Diffusion Models: A Survey
Conditional Image Synthesis with Diffusion Models: A Survey
Zheyuan Zhan
Defang Chen
Jian-Ping Mei
Zhenghe Zhao
Jiawei Chen
Chun Chen
Siwei Lyu
Can Wang
VLM
38
4
0
28 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
17
4
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
58
9
0
10 Sep 2024
The Star Geometry of Critic-Based Regularizer Learning
The Star Geometry of Critic-Based Regularizer Learning
Oscar Leong
Eliza O'Reilly
Yong Sheng Soh
AAML
40
0
0
29 Aug 2024
Particle-Filtering-based Latent Diffusion for Inverse Problems
Particle-Filtering-based Latent Diffusion for Inverse Problems
Amir Nazemi
M. H. Sepanj
Nicholas Pellegrino
Chris Czarnecki
Paul Fieguth
DiffM
42
0
0
25 Aug 2024
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed
  Image Restoration
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration
Yulin Ren
Xin Li
Bingchen Li
Xingrui Wang
Mengxi Guo
Shijie Zhao
Li Zhang
Zhibo Chen
DiffM
36
7
0
15 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
29
25
0
01 Jul 2024
Blind Inversion using Latent Diffusion Priors
Blind Inversion using Latent Diffusion Priors
Weimin Bai
Siyi Chen
Wenzheng Chen
He Sun
DiffM
26
4
0
01 Jul 2024
Accelerating Longitudinal MRI using Prior Informed Latent Diffusion
Accelerating Longitudinal MRI using Prior Informed Latent Diffusion
Yonatan Urman
Zachary Shah
Ashwin Kumar
Bruno P. Soares
K. Setsompop
MedIm
21
0
0
29 Jun 2024
Active Diffusion Subsampling
Active Diffusion Subsampling
Oisin Nolan
Tristan S. W. Stevens
Wessel L. van Nierop
Ruud J. G. van Sloun
DiffM
MedIm
30
2
0
20 Jun 2024
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion
  Models
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
Hyungjin Chung
Jeongsol Kim
Geon Yeong Park
Hyelin Nam
Jong Chul Ye
DiffM
34
25
0
12 Jun 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
67
6
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 L. Bouman
DiffM
22
18
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
47
3
0
27 May 2024
RB-Modulation: Training-Free Personalization of Diffusion Models using
  Stochastic Optimal Control
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control
Litu Rout
Yujia Chen
Nataniel Ruiz
Abhishek Kumar
C. Caramanis
Sanjay Shakkottai
Wen-Sheng Chu
DiffM
32
23
0
27 May 2024
Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver
  for Inverse Problems
Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems
Hanyu Chen
Zhixiu Hao
Liying Xiao
DiffM
14
2
0
17 May 2024
Verified Neural Compressed Sensing
Verified Neural Compressed Sensing
Rudy Bunel
Dj Dvijotham
M. P. Kumar
Alessandro De Palma
Robert Stanforth
MLT
32
1
0
07 May 2024
An Overview of Diffusion Models: Applications, Guided Generation,
  Statistical Rates and Optimization
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
Minshuo Chen
Song Mei
Jianqing Fan
Mengdi Wang
VLM
MedIm
DiffM
32
48
0
11 Apr 2024
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse
  Problems
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems
Hossein Askari
Fred Roosta
Hongfu Sun
MedIm
DiffM
25
3
0
04 Apr 2024
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
Yutong He
Alexander Robey
Naoki Murata
Yiding Jiang
J. Williams
George Pappas
Hamed Hassani
Yuki Mitsufuji
Ruslan Salakhutdinov
J. Zico Kolter
DiffM
91
4
0
28 Mar 2024
Invertible Diffusion Models for Compressed Sensing
Invertible Diffusion Models for Compressed Sensing
Bin Chen
Zhenyu Zhang
Weiqi Li
Chen Zhao
Jiwen Yu
Shijie Zhao
Jie Chen
Jian Andrew Zhang
DiffM
41
5
0
25 Mar 2024
DreamSampler: Unifying Diffusion Sampling and Score Distillation for
  Image Manipulation
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
Jeongsol Kim
Geon Yeong Park
Jong Chul Ye
DiffM
30
13
0
18 Mar 2024
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy
  Gradient Viewpoint
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint
Haoyue Tang
Tian Xie
Aosong Feng
Hanyu Wang
Chenyang Zhang
Yang Bai
DiffM
22
2
0
15 Mar 2024
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion
  Models for Sparse-view CT Reconstruction
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction
Hanyu Chen
Zhixiu Hao
Lin Guo
Liying Xiao
39
1
0
14 Mar 2024
Perspective-Equivariant Imaging: an Unsupervised Framework for
  Multispectral Pansharpening
Perspective-Equivariant Imaging: an Unsupervised Framework for Multispectral Pansharpening
Andrew Wang
Mike Davies
25
3
0
14 Mar 2024
Decoupled Data Consistency with Diffusion Purification for Image
  Restoration
Decoupled Data Consistency with Diffusion Purification for Image Restoration
Xiang Li
Soo Min Kwon
Ismail R. Alkhouri
S. Ravishankar
Qing Qu
DiffM
23
19
0
10 Mar 2024
Text-guided Explorable Image Super-resolution
Text-guided Explorable Image Super-resolution
Kanchana Vaishnavi Gandikota
Paramanand Chandramouli
40
7
0
02 Mar 2024
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