Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2007.13640
Cited By
v1
v2
v3 (latest)
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser
27 July 2020
Zahra Kadkhodaie
Eero P. Simoncelli
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser"
50 / 63 papers shown
Solving Diffusion Inverse Problems with Restart Posterior Sampling
Bilal Ahmed
Joseph G. Makin
DiffM
337
0
0
24 Nov 2025
When Scores Learn Geometry: Rate Separations under the Manifold Hypothesis
Xiang Li
Zebang Shen
Ya-Ping Hsieh
Niao He
1.5K
2
0
29 Sep 2025
Analysis Plug-and-Play Methods for Imaging Inverse Problems
Edward P. Chandler
Shirin Shoushtari
B. Wohlberg
Ulugbek S. Kamilov
171
0
0
18 Sep 2025
Learning normalized image densities via dual score matching
Florentin Guth
Zahra Kadkhodaie
Eero P. Simoncelli
DiffM
402
12
0
05 Jun 2025
Unconditional CNN denoisers contain sparse semantic representation of images
Zahra Kadkhodaie
Stéphane Mallat
Eero P. Simoncelli
DiffM
384
0
0
02 Jun 2025
Decomposing stimulus-specific sensory neural information via diffusion models
Steeve Laquitaine
Simone Azeglio
Carlo Paris
U. Ferrari
Matthew Chalk
DiffM
298
1
0
16 May 2025
INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2024
Di You
Pier Luigi Dragotti
DiffM
451
4
0
23 Jan 2025
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
Adaptive Agents and Multi-Agent Systems (AAMAS), 2024
Tonghan Wang
Heng Dong
Yanchen Jiang
David C. Parkes
Milind Tambe
DiffM
463
4
0
17 Oct 2024
Feature-guided score diffusion for sampling conditional densities
Zahra Kadkhodaie
S. Mallat
Eero P. Simoncelli
DiffM
312
3
0
15 Oct 2024
Variational Diffusion Posterior Sampling with Midpoint Guidance
International Conference on Learning Representations (ICLR), 2024
Badr Moufad
Yazid Janati
Lisa Bedin
Alain Durmus
Randal Douc
Eric Moulines
Jimmy Olsson
DiffM
283
24
0
13 Oct 2024
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
394
172
0
30 Sep 2024
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
491
60
0
31 May 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
Yiyuan Yang
Ming Jin
Haomin Wen
Chaoli Zhang
Yuxuan Liang
...
Cheng-Ming Liu
Bin Yang
Zenglin Xu
Jiang Bian
Shirui Pan
AI4TS
DiffM
SyDa
638
101
0
29 Apr 2024
Listening to the Noise: Blind Denoising with Gibbs Diffusion
David Heurtel-Depeiges
C. Margossian
Ruben Ohana
Bruno Régaldo-Saint Blancard
DiffM
400
4
0
29 Feb 2024
MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model
Student Member Ieee Ziqi Gao
F. I. S. Kevin Zhou
MedIm
299
5
0
16 Feb 2024
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models
Maitreya Suin
Rama Chellappa
DiffM
252
6
0
08 Feb 2024
Plug-and-Play image restoration with Stochastic deNOising REgularization
Marien Renaud
Jean Prost
Arthur Leclaire
Nicolas Papadakis
DiffM
606
19
0
01 Feb 2024
Denoising Diffusion Step-aware Models
International Conference on Learning Representations (ICLR), 2023
Shuai Yang
Yukang Chen
Luozhou Wang
Shu Liu
Ying-Cong Chen
DiffM
468
27
0
05 Oct 2023
Generalization in diffusion models arises from geometry-adaptive harmonic representations
International Conference on Learning Representations (ICLR), 2023
Zahra Kadkhodaie
Florentin Guth
Eero P. Simoncelli
Stéphane Mallat
AI4CE
DiffM
599
162
0
04 Oct 2023
Training-free Linear Image Inverses via Flows
Ashwini Pokle
Matthew Muckley
Ricky T. Q. Chen
Brian Karrer
394
57
0
25 Sep 2023
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction
International Conference on Information and Knowledge Management (CIKM), 2023
Kelvin J.L. Koa
Yunshan Ma
Ritchie Ng
Tat-Seng Chua
DiffM
460
39
0
18 Aug 2023
Interpreting and Improving Diffusion Models from an Optimization Perspective
International Conference on Machine Learning (ICML), 2023
Frank Permenter
Chenyang Yuan
DiffM
388
16
0
08 Jun 2023
INDigo: An INN-Guided Probabilistic Diffusion Algorithm for Inverse Problems
IEEE International Workshop on Multimedia Signal Processing (MMSP), 2023
Di You
Andreas Floros
Pier Luigi Dragotti
DiffM
313
5
0
05 Jun 2023
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling
Zeqiang Lai
Yuchen Duan
Jifeng Dai
Ziheng Li
Ying Fu
Jiaming Song
Yu Qiao
Wen Wang
DiffM
280
25
0
02 Jun 2023
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
International Conference on Machine Learning (ICML), 2023
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
MedIm
255
11
0
02 Jun 2023
White-Box Transformers via Sparse Rate Reduction
Neural Information Processing Systems (NeurIPS), 2023
Yaodong Yu
Sam Buchanan
Druv Pai
Tianzhe Chu
Ziyang Wu
Shengbang Tong
B. Haeffele
Yi Ma
ViT
366
133
0
01 Jun 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Neural Information Processing Systems (NeurIPS), 2023
Giannis Daras
Kulin Shah
Y. Dagan
Aravind Gollakota
A. Dimakis
Adam R. Klivans
DiffM
511
111
0
30 May 2023
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Omer Belhasin
Yaniv Romano
Daniel Freedman
Ehud Rivlin
Michael Elad
370
34
0
17 May 2023
Learning multi-scale local conditional probability models of images
International Conference on Learning Representations (ICLR), 2023
Zahra Kadkhodaie
Florentin Guth
S. Mallat
Eero P. Simoncelli
DiffM
270
25
0
06 Mar 2023
Closed-Loop Transcription via Convolutional Sparse Coding
Xili Dai
Kai Chen
Shengbang Tong
Jingyuan Zhang
Xingjian Gao
...
Yuexiang Zhai
Xiaojun Yuan
H. Shum
L. Ni
Yi Ma
DiffM
DRL
278
6
0
18 Feb 2023
Deep Joint Source-Channel Coding with Iterative Source Error Correction
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Changwoo Lee
Xiao Hu
Hun-Seok Kim
243
11
0
17 Feb 2023
DDM
2
^2
2
: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
International Conference on Learning Representations (ICLR), 2023
Tiange Xiang
Mahmut Yurt
Ali B. Syed
Kawin Setsompop
Akshay S. Chaudhari
MedIm
DiffM
498
77
0
06 Feb 2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
International Conference on Machine Learning (ICML), 2023
Naoki Murata
Koichi Saito
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
Yuki Mitsufuji
Stefano Ermon
DiffM
318
70
0
30 Jan 2023
Post-training Quantization on Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2022
Yuzhang Shang
Zhihang Yuan
Bin Xie
Bingzhe Wu
Yan Yan
DiffM
MQ
618
297
0
28 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
Asian Conference on Machine Learning (ACML), 2022
Xiangming Meng
Y. Kabashima
DiffM
576
76
0
20 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy
Royal Society Open Science (RSOS), 2022
Michael J. Smith
James E. Geach
292
51
0
07 Nov 2022
Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Rohun Agrawal
Oscar Leong
257
2
0
02 Nov 2022
Deep Equilibrium Approaches to Diffusion Models
Neural Information Processing Systems (NeurIPS), 2022
Ashwini Pokle
Zhengyang Geng
Zico Kolter
DiffM
334
52
0
23 Oct 2022
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models
International Conference on Computer Science and Artificial Intelligence (ICCSAI), 2022
Yueqin Yin
Lianghua Huang
Yu Liu
Kaiqiang Huang
DiffM
202
13
0
16 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
ACM Computing Surveys (ACM CSUR), 2022
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Tengjiao Wang
Ming-Hsuan Yang
DiffM
MedIm
1.9K
2,132
0
02 Sep 2022
Wavelet Score-Based Generative Modeling
Neural Information Processing Systems (NeurIPS), 2022
Florentin Guth
Simon Coste
Valentin De Bortoli
S. Mallat
DiffM
340
81
0
09 Aug 2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models
Tsachi Blau
Roy Ganz
Bahjat Kawar
Alex M. Bronstein
Michael Elad
AAML
DiffM
293
36
0
17 Jul 2022
Flexible Diffusion Modeling of Long Videos
Neural Information Processing Systems (NeurIPS), 2022
William Harvey
Saeid Naderiparizi
Vaden Masrani
Christian D. Weilbach
Frank Wood
DiffM
BDL
VGen
685
351
0
23 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Neural Information Processing Systems (NeurIPS), 2022
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
1.5K
8,076
0
23 May 2022
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent
SIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2022
Rita Fermanian
Mikael Le Pendu
C. Guillemot
399
11
0
29 Apr 2022
Video Diffusion Models
Neural Information Processing Systems (NeurIPS), 2022
Jonathan Ho
Tim Salimans
Alexey A. Gritsenko
William Chan
Mohammad Norouzi
David J. Fleet
DiffM
VGen
1.1K
2,472
0
07 Apr 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors
IEEE Transactions on Computational Imaging (TCI), 2022
Pakshal Bohra
Thanh-an Michel Pham
Jonathan Dong
M. Unser
MedIm
324
16
0
18 Mar 2022
Multimeasurement Generative Models
International Conference on Learning Representations (ICLR), 2021
Saeed Saremi
R. Srivastava
278
9
0
18 Dec 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
International Conference on Learning Representations (ICLR), 2021
Yang Song
Liyue Shen
Lei Xing
Stefano Ermon
DiffM
SyDa
OffRL
MedIm
565
703
0
15 Nov 2021
Palette: Image-to-Image Diffusion Models
International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2021
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
1.4K
2,156
0
10 Nov 2021
1
2
Next
Page 1 of 2
