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Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

19 August 2022
Arpit Bansal
Eitan Borgnia
Hong-Min Chu
Jie S. Li
Hamid Kazemi
Furong Huang
Micah Goldblum
Jonas Geiping
Tom Goldstein
    VLM
    DiffM
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Papers citing "Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise"

50 / 168 papers shown
Title
Operator-informed score matching for Markov diffusion models
Operator-informed score matching for Markov diffusion models
Zheyang Shen
Chris J. Oates
DiffM
54
0
0
13 Jun 2024
Segmentation-Free Guidance for Text-to-Image Diffusion Models
Segmentation-Free Guidance for Text-to-Image Diffusion Models
K. Azarian
Debasmit Das
Qiqi Hou
Fatih Porikli
VLM
33
0
0
03 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing
Robust Classification by Coupling Data Mollification with Label Smoothing
Markus Heinonen
Ba-Hien Tran
Michael Kampffmeyer
Maurizio Filippone
65
0
0
03 Jun 2024
Establishing a Unified Evaluation Framework for Human Motion Generation:
  A Comparative Analysis of Metrics
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics
Ali Ismail-Fawaz
Maxime Devanne
Stefano Berretti
Jonathan Weber
Germain Forestier
EGVM
28
1
0
13 May 2024
Score-based Generative Priors Guided Model-driven Network for MRI
  Reconstruction
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction
Xiaoyu Qiao
Weisheng Li
Bin Xiao
Yuping Huang
Lijian Yang
DiffM
20
3
0
05 May 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
Yiyuan Yang
Ming Jin
Haomin Wen
Chaoli Zhang
Yuxuan Liang
...
Bin Yang
Zenglin Xu
Jiang Bian
Shirui Pan
Qingsong Wen
DiffM
AI4TS
SyDa
29
36
0
29 Apr 2024
Generating Potent Poisons and Backdoors from Scratch with Guided
  Diffusion
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion
Hossein Souri
Arpit Bansal
Hamid Kazemi
Liam H. Fowl
Aniruddha Saha
Jonas Geiping
Andrew Gordon Wilson
Rama Chellappa
Tom Goldstein
Micah Goldblum
SILM
DiffM
21
1
0
25 Mar 2024
3D Human Reconstruction in the Wild with Synthetic Data Using Generative
  Models
3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models
Yongtao Ge
Wenjia Wang
Yongfan Chen
Hao Chen
Chunhua Shen
3DH
30
8
0
17 Mar 2024
Unified Generation, Reconstruction, and Representation: Generalized
  Diffusion with Adaptive Latent Encoding-Decoding
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
Guangyi Liu
Yu Wang
Zeyu Feng
Qiyu Wu
Liping Tang
...
Shuguang Cui
Julian McAuley
Zichao Yang
Eric P. Xing
Zhiting Hu
DiffM
49
3
0
29 Feb 2024
Diffusion Model-Based Image Editing: A Survey
Diffusion Model-Based Image Editing: A Survey
Yi Huang
Jiancheng Huang
Yifan Liu
Mingfu Yan
Jiaxi Lv
Jianzhuang Liu
Wei Xiong
He Zhang
Liangliang Cao
Liangliang Cao
EGVM
66
82
0
27 Feb 2024
Blue noise for diffusion models
Blue noise for diffusion models
Xingchang Huang
Corentin Salaün
C. N. Vasconcelos
Christian Theobalt
Cengiz Öztireli
Gurprit Singh
DiffM
13
6
0
07 Feb 2024
The Stronger the Diffusion Model, the Easier the Backdoor: Data
  Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline
Haonan Wang
Qianli Shen
Yao Tong
Yang Zhang
Kenji Kawaguchi
37
22
0
07 Jan 2024
Diffusion Models, Image Super-Resolution And Everything: A Survey
Diffusion Models, Image Super-Resolution And Everything: A Survey
Brian B. Moser
Arundhati S. Shanbhag
Federico Raue
Stanislav Frolov
Sebastián M. Palacio
Andreas Dengel
16
34
0
01 Jan 2024
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image
  Segmentation
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation
F. Zaman
Mathews Jacob
Amanda Chang
Kan Liu
Milan Sonka
Xiaodong Wu
DiffM
MedIm
21
1
0
19 Dec 2023
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete
  Diffusion Process
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process
Meng Wang
Henghui Ding
Jun Hao Liew
Jiajun Liu
Yao-Min Zhao
Yunchao Wei
DiffM
23
16
0
19 Dec 2023
Compensation Sampling for Improved Convergence in Diffusion Models
Compensation Sampling for Improved Convergence in Diffusion Models
Hui Lu
A. A. Salah
Ronald Poppe
21
1
0
11 Dec 2023
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of
  Illumination and Reflectance
Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance
Yuto Enyo
Ko Nishino
3DV
26
2
0
07 Dec 2023
Single Image Reflection Removal with Reflection Intensity Prior
  Knowledge
Single Image Reflection Removal with Reflection Intensity Prior Knowledge
Dongshen Han
Seungkyu Lee
Chaoning Zhang
Heechan Yoon
Hyukmin Kwon
HyunCheol Kim
Hyongon Choo
11
0
0
06 Dec 2023
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D
  Diffusion
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
Weitao Du
Jiujiu Chen
Xuecang Zhang
Zhiming Ma
Shengchao Liu
DiffM
25
9
0
06 Dec 2023
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction
Yao Teng
Enze Xie
Yue Wu
Haoyu Han
Zhenguo Li
Xihui Liu
DiffM
VGen
20
11
0
05 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
12
32
0
01 Dec 2023
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared
  Representations
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations
Delaram Pirhayatifard
Taha Toghani
Guha Balakrishnan
César A. Uribe
DiffM
12
0
0
27 Nov 2023
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised
  Anomaly Detection
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection
Sergio Naval Marimont
Matthew Baugh
Vasilis Siomos
Christos Tzelepis
Bernhard Kainz
G. Tarroni
DiffM
MedIm
27
6
0
26 Nov 2023
Functional Diffusion
Functional Diffusion
Biao Zhang
Peter Wonka
DiffM
64
9
0
26 Nov 2023
Resfusion: Denoising Diffusion Probabilistic Models for Image
  Restoration Based on Prior Residual Noise
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise
Zhenning Shi
Haoshuai Zheng
Chen Xu
Changsheng Dong
Bin Pan
Xueshuo Xie
Along He
Tao Li
Huazhu Fu
DiffM
23
3
0
25 Nov 2023
TransFusion -- A Transparency-Based Diffusion Model for Anomaly
  Detection
TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
Matic Fucka
Vitjan Zavrtanik
D. Skočaj
MedIm
DiffM
11
9
0
16 Nov 2023
Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution --
  a Non-Denoising Model
Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising Model
C. Hui
W. Siu
N. Law
DiffM
13
1
0
04 Nov 2023
Gaussian Mixture Solvers for Diffusion Models
Gaussian Mixture Solvers for Diffusion Models
Hanzhong Guo
Cheng Lu
Fan Bao
Tianyu Pang
Shuicheng Yan
Chao Du
Chongxuan Li
15
9
0
02 Nov 2023
A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered
  by Semantic Communication
A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communication
Runze Cheng
Yao Sun
Dusit Niyato
Lan Zhang
Lei Zhang
Muhammad Ali Imran
13
11
0
26 Oct 2023
Generative Fractional Diffusion Models
Generative Fractional Diffusion Models
Gabriel Nobis
Maximilian Springenberg
Marco Aversa
Michael Detzel
Rembert Daems
...
Tolga Birdal
Manfred Opper
Christoph Knochenhauer
Luis Oala
Wojciech Samek
DiffM
24
5
0
26 Oct 2023
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion
  Probabilistic Models
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models
Joseph Goodier
Neill D.F. Campbell
DiffM
35
6
0
26 Oct 2023
Improving Denoising Diffusion Models via Simultaneous Estimation of
  Image and Noise
Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise
Zhenkai Zhang
Krista A. Ehinger
Tom Drummond
DiffM
33
0
0
26 Oct 2023
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good
  States
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States
Zidan Wang
Takeru Oba
Takuma Yoneda
Rui Shen
Matthew R. Walter
Bradly C. Stadie
DiffM
17
9
0
21 Oct 2023
Stochastic interpolants with data-dependent couplings
Stochastic interpolants with data-dependent couplings
M. S. Albergo
Mark Goldstein
Nicholas M. Boffi
Rajesh Ranganath
Eric Vanden-Eijnden
OT
20
28
0
05 Oct 2023
Sequential Data Generation with Groupwise Diffusion Process
Sequential Data Generation with Groupwise Diffusion Process
Sangyun Lee
Gayoung Lee
Hyunsung Kim
Junho Kim
Youngjung Uh
DiffM
20
4
0
02 Oct 2023
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative
  Memories and Diffusion Models
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion Models
Benjamin Hoover
Hendrik Strobelt
Dmitry Krotov
Judy Hoffman
Z. Kira
Duen Horng Chau
DiffM
25
4
0
28 Sep 2023
Uncertainty Quantification via Neural Posterior Principal Components
Uncertainty Quantification via Neural Posterior Principal Components
E. Nehme
Omer Yair
T. Michaeli
UQCV
13
13
0
27 Sep 2023
Generalised Diffusion Probabilistic Scale-Spaces
Generalised Diffusion Probabilistic Scale-Spaces
Pascal Peter
DiffM
16
0
0
15 Sep 2023
Beta Diffusion
Beta Diffusion
Mingyuan Zhou
Tianqi Chen
Zhendong Wang
Huangjie Zheng
DiffM
13
10
0
14 Sep 2023
Variations and Relaxations of Normalizing Flows
Variations and Relaxations of Normalizing Flows
Keegan Kelly
Lorena Piedras
Sukrit Rao
David Samuel Roth
BDL
17
0
0
08 Sep 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent
  Degradation and Restoration
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
Ran Liu
Sahil Khose
Jingyun Xiao
Lakshmi Sathidevi
Keerthan Ramnath
Z. Kira
Eva L. Dyer
16
3
0
28 Aug 2023
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local
  Smoothing
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing
Jiawei Zhang
Zhongzhu Chen
Huan Zhang
Chaowei Xiao
Bo-wen Li
DiffM
23
20
0
28 Aug 2023
Residual Denoising Diffusion Models
Residual Denoising Diffusion Models
Jiawei Liu
Qiang Wang
Huijie Fan
Yinong Wang
Yandong Tang
Liangqiong Qu
DiffM
24
31
0
25 Aug 2023
Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion
  Generated Outputs
Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion Generated Outputs
Luke Ditria
Tom Drummond
WIGM
11
2
0
22 Aug 2023
Dynamic Attention-Guided Diffusion for Image Super-Resolution
Dynamic Attention-Guided Diffusion for Image Super-Resolution
Brian B. Moser
Stanislav Frolov
Federico Raue
Sebastián M. Palacio
Andreas Dengel
DiffM
17
3
0
15 Aug 2023
Masked Diffusion as Self-supervised Representation Learner
Masked Diffusion as Self-supervised Representation Learner
Zixuan Pan
Jianxu Chen
Yi Shi
MedIm
DiffM
21
9
0
10 Aug 2023
PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like
  Interactions
PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions
John Joon Young Chung
Eytan Adar
DiffM
25
55
0
09 Aug 2023
Image Denoising and the Generative Accumulation of Photons
Image Denoising and the Generative Accumulation of Photons
Alexander Krull
H. Basevi
Benjamin Salmon
A. Zeug
F. Muller
Samuel Tonks
Leela Muppala
A. Leonardis
DiffM
12
7
0
13 Jul 2023
Geometric Neural Diffusion Processes
Geometric Neural Diffusion Processes
Emile Mathieu
Vincent Dutordoir
M. Hutchinson
Valentin De Bortoli
Yee Whye Teh
Richard E. Turner
DiffM
32
8
0
11 Jul 2023
Substance or Style: What Does Your Image Embedding Know?
Substance or Style: What Does Your Image Embedding Know?
Cyrus Rashtchian
Charles Herrmann
Chun-Sung Ferng
Ayan Chakrabarti
Dilip Krishnan
Deqing Sun
Da-Cheng Juan
Andrew Tomkins
15
6
0
10 Jul 2023
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