ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.04391
  4. Cited By
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"

31 / 81 papers shown
Title
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
34
2
0
17 May 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
Hongwei Tan
Ziruo Cai
Marcelo Pereyra
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
SSL
73
1
0
08 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
38
3
0
04 Apr 2024
Provably Robust Score-Based Diffusion Posterior Sampling for
  Plug-and-Play Image Reconstruction
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction
Xingyu Xu
Yuejie Chi
DiffM
42
20
0
25 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
58
2
0
15 Mar 2024
Text-guided Explorable Image Super-resolution
Text-guided Explorable Image Super-resolution
Kanchana Vaishnavi Gandikota
Paramanand Chandramouli
48
7
0
02 Mar 2024
Box It to Bind It: Unified Layout Control and Attribute Binding in T2I
  Diffusion Models
Box It to Bind It: Unified Layout Control and Attribute Binding in T2I Diffusion Models
Ashkan Taghipour
Morteza Ghahremani
Bennamoun
Aref Miri Rekavandi
Hamid Laga
F. Boussaïd
DiffM
40
5
0
27 Feb 2024
GeneOH Diffusion: Towards Generalizable Hand-Object Interaction
  Denoising via Denoising Diffusion
GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion
Xueyi Liu
Li Yi
DiffM
39
18
0
22 Feb 2024
D-Flow: Differentiating through Flows for Controlled Generation
D-Flow: Differentiating through Flows for Controlled Generation
Heli Ben-Hamu
Omri Puny
Itai Gat
Brian Karrer
Uriel Singer
Y. Lipman
41
25
0
21 Feb 2024
Robustness and Exploration of Variational and Machine Learning
  Approaches to Inverse Problems: An Overview
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
Alexander Auras
Kanchana Vaishnavi Gandikota
Hannah Droege
Michael Moeller
AAML
31
0
0
19 Feb 2024
Consistency Model is an Effective Posterior Sample Approximation for
  Diffusion Inverse Solvers
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 Zhang
DiffM
30
4
0
09 Feb 2024
Improving Diffusion Models for Inverse Problems Using Optimal Posterior
  Covariance
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
Xinyu Peng
Ziyang Zheng
Wenrui Dai
Nuoqian Xiao
Chenglin Li
Junni Zou
Hongkai Xiong
DiffM
39
21
0
03 Feb 2024
Plug-and-Play image restoration with Stochastic deNOising REgularization
Plug-and-Play image restoration with Stochastic deNOising REgularization
Marien Renaud
Jean Prost
Arthur Leclaire
Nicolas Papadakis
DiffM
52
7
0
01 Feb 2024
Taming Mode Collapse in Score Distillation for Text-to-3D Generation
Taming Mode Collapse in Score Distillation for Text-to-3D Generation
Peihao Wang
Dejia Xu
Zhiwen Fan
Dilin Wang
Sreyas Mohan
...
Rakesh Ranjan
Yilei Li
Qiang Liu
Zhangyang Wang
Vikas Chandra
DiffM
27
27
0
31 Dec 2023
4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency
4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency
Yuyang Yin
Dejia Xu
Zhangyang Wang
Yao-Min Zhao
Yunchao Wei
3DGS
57
72
0
28 Dec 2023
Image Restoration by Denoising Diffusion Models with Iteratively
  Preconditioned Guidance
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
Tomer Garber
Tom Tirer
DiffM
46
18
0
27 Dec 2023
Manifold Preserving Guided Diffusion
Manifold Preserving Guided Diffusion
Yutong He
Naoki Murata
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
...
Wei-Hsiang Liao
Yuki Mitsufuji
J. Zico Kolter
Ruslan Salakhutdinov
Stefano Ermon
DiffM
116
66
0
28 Nov 2023
Regularization by Texts for Latent Diffusion Inverse Solvers
Regularization by Texts for Latent Diffusion Inverse Solvers
Jeongsol Kim
Geon Yeong Park
Hyungjin Chung
Jong Chul Ye
AI4CE
38
15
0
27 Nov 2023
Tweedie Moment Projected Diffusions For Inverse Problems
Tweedie Moment Projected Diffusions For Inverse Problems
Benjamin Boys
Mark Girolami
Jakiw Pidstrigach
Sebastian Reich
Alan Mosca
O. Deniz Akyildiz
MedIm
32
27
0
10 Oct 2023
Prompt-tuning latent diffusion models for inverse problems
Prompt-tuning latent diffusion models for inverse problems
Hyungjin Chung
Jong Chul Ye
P. Milanfar
M. Delbracio
DiffM
30
41
0
02 Oct 2023
Training-free Linear Image Inverses via Flows
Training-free Linear Image Inverses via Flows
Ashwini Pokle
Matthew Muckley
Ricky T. Q. Chen
Brian Karrer
11
20
0
25 Sep 2023
Diffusion Models for Image Restoration and Enhancement -- A
  Comprehensive Survey
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey
Xin Li
Yulin Ren
Xin Jin
Cuiling Lan
X. Wang
Wenjun Zeng
Xinchao Wang
Zhibo Chen
43
86
0
18 Aug 2023
Blind Audio Bandwidth Extension: A Diffusion-Based Zero-Shot Approach
Blind Audio Bandwidth Extension: A Diffusion-Based Zero-Shot Approach
Eloi Moliner
Filip Elvander
Vesa Valimaki
DiffM
35
10
0
02 Jun 2023
Accelerating Diffusion Models for Inverse Problems through Shortcut
  Sampling
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
Controllable Inversion of Black-Box Face Recognition Models via
  Diffusion
Controllable Inversion of Black-Box Face Recognition Models via Diffusion
Manuel Kansy
Anton Raël
Graziana Mignone
Jacek Naruniec
Christopher Schroers
Markus Gross
Romann M. Weber
DiffM
79
18
0
23 Mar 2023
Removing Structured Noise with Diffusion Models
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
JPEG Artifact Correction using Denoising Diffusion Restoration Models
JPEG Artifact Correction using Denoising Diffusion Restoration Models
Bahjat Kawar
Jiaming Song
Stefano Ermon
Michael Elad
DiffM
49
55
0
23 Sep 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
220
787
0
27 Jan 2022
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
348
1,593
0
10 Nov 2021
Regularization by Denoising: Clarifications and New Interpretations
Regularization by Denoising: Clarifications and New Interpretations
E. T. Reehorst
Philip Schniter
56
214
0
06 Jun 2018
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
298
39,217
0
01 Sep 2014
Previous
12