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Prompt-tuning latent diffusion models for inverse problems

Prompt-tuning latent diffusion models for inverse problems

2 October 2023
Hyungjin Chung
Jong Chul Ye
P. Milanfar
M. Delbracio
    DiffM
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Papers citing "Prompt-tuning latent diffusion models for inverse problems"

35 / 35 papers shown
Title
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
L. Tian
DiffM
MedIm
19
0
0
15 May 2025
IntrinsicEdit: Precise generative image manipulation in intrinsic space
IntrinsicEdit: Precise generative image manipulation in intrinsic space
Linjie Lyu
Valentin Deschaintre
Yannick Hold-Geoffroy
Miloš Hašan
Jae Shin Yoon
Thomas Leimkuhler
C. Theobalt
Iliyan Georgiev
DiffM
28
0
0
13 May 2025
The Power of Context: How Multimodality Improves Image Super-Resolution
The Power of Context: How Multimodality Improves Image Super-Resolution
Kangfu Mei
Hossein Talebi
Mojtaba Ardakani
Vishal M. Patel
P. Milanfar
M. Delbracio
DiffM
82
1
0
18 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
120
1
0
31 Jan 2025
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
Taesung Kwon
Jong Chul Ye
80
1
0
29 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
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
59
1
0
09 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
43
36
0
30 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
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
52
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
41
7
0
15 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
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
26
0
12 Jun 2024
Dreamguider: Improved Training free Diffusion-based Conditional
  Generation
Dreamguider: Improved Training free Diffusion-based Conditional Generation
Nithin Gopalakrishnan Nair
Vishal M. Patel
32
2
0
04 Jun 2024
ODE-DPS: ODE-based Diffusion Posterior Sampling for Inverse Problems in
  Partial Differential Equation
ODE-DPS: ODE-based Diffusion Posterior Sampling for Inverse Problems in Partial Differential Equation
Enze Jiang
Jishen Peng
Zheng Ma
Xiong-bin Yan
29
0
0
21 Apr 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
51
5
0
25 Mar 2024
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
Yeongtak Oh
Jonghyun Lee
Jooyoung Choi
Dahuin Jung
Uiwon Hwang
Sungroh Yoon
TTA
DiffM
37
3
0
16 Mar 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-Qin Zhang
DiffM
30
4
0
09 Feb 2024
You Only Need One Step: Fast Super-Resolution with Stable Diffusion via
  Scale Distillation
You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation
Mehdi Noroozi
Isma Hadji
Brais Martínez
Adrian Bulat
Georgios Tzimiropoulos
29
10
0
30 Jan 2024
Tell Me What You See: Text-Guided Real-World Image Denoising
Tell Me What You See: Text-Guided Real-World Image Denoising
E. Yosef
Raja Giryes
DiffM
59
2
0
15 Dec 2023
Beyond First-Order Tweedie: Solving Inverse Problems using Latent
  Diffusion
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion
Litu Rout
Yujia Chen
Abhishek Kumar
C. Caramanis
Sanjay Shakkottai
Wen-Sheng Chu
25
32
0
01 Dec 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
28
14
0
27 Nov 2023
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion
  Models
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
Zalan Fabian
Berk Tınaz
Mahdi Soltanolkotabi
DiffM
28
5
0
12 Sep 2023
Fast Diffusion EM: a diffusion model for blind inverse problems with
  application to deconvolution
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution
Charles Laroche
Andrés Almansa
Eva Coupeté
DiffM
17
26
0
01 Sep 2023
Solving Inverse Problems with Latent Diffusion Models via Hard Data
  Consistency
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Bowen Song
Soo Min Kwon
Zecheng Zhang
Xinyu Hu
Qing Qu
Liyue Shen
MedIm
34
100
0
16 Jul 2023
Denoising Diffusion Models for Plug-and-Play Image Restoration
Denoising Diffusion Models for Plug-and-Play Image Restoration
Yuanzhi Zhu
K. Zhang
Jingyun Liang
Jiezhang Cao
B. Wen
Radu Timofte
Luc Van Gool
DiffM
63
198
0
15 May 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Berthy T. Feng
Jamie Smith
Michael Rubinstein
Huiwen Chang
Katherine L. Bouman
William T. Freeman
DiffM
87
87
0
23 Apr 2023
Unlimited-Size Diffusion Restoration
Unlimited-Size Diffusion Restoration
Yinhuai Wang
Jiwen Yu
Runyi Yu
Jian Zhang
48
15
0
01 Mar 2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse
  Problems with Denoising Diffusion Restoration
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
Naoki Murata
Koichi Saito
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
Yuki Mitsufuji
Stefano Ermon
DiffM
56
49
0
30 Jan 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
316
4,077
0
24 May 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
212
783
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
342
1,591
0
10 Nov 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
330
2,267
0
02 Sep 2021
Solving Inverse Problems with a Flow-based Noise Model
Solving Inverse Problems with a Flow-based Noise Model
Jay Whang
Qi Lei
A. Dimakis
64
36
0
18 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
279
10,354
0
12 Dec 2018
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