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Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models
  for Inverse Problems through Stochastic Contraction
v1v2 (latest)

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction

9 December 2021
Hyungjin Chung
Byeongsu Sim
Jong Chul Ye
    MedImDiffM
ArXiv (abs)PDFHTML

Papers citing "Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction"

50 / 249 papers shown
Data-iterative Optimization Score Model for Stable Ultra-Sparse-View CT
  Reconstruction
Data-iterative Optimization Score Model for Stable Ultra-Sparse-View CT Reconstruction
Weiwen Wu
Yanyang Wang
DiffM
121
8
0
28 Aug 2023
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
DiffI2I: Efficient Diffusion Model for Image-to-Image TranslationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Bin Xia
Yulun Zhang
Shiyin Wang
Yitong Wang
Xing Wu
Yapeng Tian
Wenming Yang
Radu Timotfe
Luc Van Gool
DiffMVLM
240
22
0
26 Aug 2023
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine
  PET Reconstruction
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET ReconstructionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Zeyu Han
Yuhan Wang
Luping Zhou
Zifan Kong
Binyu Yan
Jiliu Zhou
Yan Wang
Dinggang Shen
DiffM
164
36
0
20 Aug 2023
Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey
Diffusion Models for Image Restoration and Enhancement: A Comprehensive SurveyInternational Journal of Computer Vision (IJCV), 2023
Xin Li
Yulin Ren
Xin Jin
Cuiling Lan
Xingyu Wang
Wenjun Zeng
Xinchao Wang
Zhibo Chen
369
139
0
18 Aug 2023
Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration
Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration
Liyan Wang
Qinyu Yang
Cong Wang
Wen Wang
Jin-shan Pan
Zhixun Su
DiffM
226
6
0
17 Aug 2023
Dynamic Attention-Guided Diffusion for Image Super-Resolution
Dynamic Attention-Guided Diffusion for Image Super-ResolutionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Brian B. Moser
Stanislav Frolov
Federico Raue
Sebastián M. Palacio
Andreas Dengel
DiffM
374
10
0
15 Aug 2023
Reverse Stable Diffusion: What prompt was used to generate this image?
Reverse Stable Diffusion: What prompt was used to generate this image?Computer Vision and Image Understanding (CVIU), 2023
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
VLMDiffM
276
10
0
02 Aug 2023
Diffusion Model for Camouflaged Object Detection
Diffusion Model for Camouflaged Object DetectionEuropean Conference on Artificial Intelligence (ECAI), 2023
Zhe Chen
Rongrong Gao
Tian-Zhu Xiang
Fanzhao Lin
DiffM
209
26
0
01 Aug 2023
Conditioning Generative Latent Optimization for Sparse-View CT Image
  Reconstruction
Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction
Thomas Braure
Delphine Lazaro
David Hateau
Vincent Brandon
Kévin Ginsburger
MedIm
276
1
0
31 Jul 2023
RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects
RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid SubjectsIEEE Access (IEEE Access), 2023
Sascha Kirch
Valeria Olyunina
Jan Ondřej
Rafael Pagés
Sergio Martín
Clara Pérez-Molina
193
3
0
29 Jul 2023
ResShift: Efficient Diffusion Model for Image Super-resolution by
  Residual Shifting
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual ShiftingNeural Information Processing Systems (NeurIPS), 2023
Zongsheng Yue
Jianyi Wang
Chen Change Loy
DiffM
488
386
0
23 Jul 2023
Content-Preserving Diffusion Model for Unsupervised AS-OCT image
  Despeckling
Content-Preserving Diffusion Model for Unsupervised AS-OCT image DespecklingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Sanqian Li
Risa Higashita
Huazhu Fu
Heng Li
Jingxuan Liu
Jiang-Dong Liu
DiffMMedIm
93
10
0
30 Jun 2023
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling
  for Fast MRI?
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Jiahao Huang
Angelica Aviles-Rivero
Carola-Bibiane Schönlieb
Guang Yang
DiffMMedIm
168
19
0
25 Jun 2023
Score-based Generative Models for Photoacoustic Image Reconstruction
  with Rotation Consistency Constraints
Score-based Generative Models for Photoacoustic Image Reconstruction with Rotation Consistency Constraints
Shangqing Tong
Hengrong Lan
Liming Nie
Jianwen Luo
Fei Gao
DiffMMedIm
93
4
0
24 Jun 2023
Conditional Text Image Generation with Diffusion Models
Conditional Text Image Generation with Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Yuanzhi Zhu
Zhaohai Li
Tianwei Wang
Mengchao He
Cong Yao
VLMDiffM
293
83
0
19 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction
Distribution Shift Inversion for Out-of-Distribution PredictionComputer Vision and Pattern Recognition (CVPR), 2023
Runpeng Yu
Songhua Liu
Xingyi Yang
Xinchao Wang
OODD
187
26
0
14 Jun 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion
  Models for Physical Dynamical Systems
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical SystemsInternational Conference on Machine Learning (ICML), 2023
Marc Finzi
Anudhyan Boral
A. Wilson
Fei Sha
Leonardo Zepeda-Núñez
DiffM
213
30
0
13 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A SurveyPattern Recognition (Pattern Recogn.), 2023
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
624
79
0
07 Jun 2023
MotionDiffuser: Controllable Multi-Agent Motion Prediction using
  Diffusion
MotionDiffuser: Controllable Multi-Agent Motion Prediction using DiffusionComputer Vision and Pattern Recognition (CVPR), 2023
C. Jiang
Andre Cornman
C. Park
Benjamin Sapp
Yin Zhou
Drago Anguelov
DiffM
271
222
0
05 Jun 2023
INDigo: An INN-Guided Probabilistic Diffusion Algorithm for Inverse
  Problems
INDigo: An INN-Guided Probabilistic Diffusion Algorithm for Inverse ProblemsIEEE International Workshop on Multimedia Signal Processing (MMSP), 2023
Di You
Andreas Floros
Pier Luigi Dragotti
DiffM
208
5
0
05 Jun 2023
Blind Audio Bandwidth Extension: A Diffusion-Based Zero-Shot Approach
Blind Audio Bandwidth Extension: A Diffusion-Based Zero-Shot ApproachIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Eloi Moliner
Filip Elvander
Vesa Valimaki
DiffM
265
19
0
02 Jun 2023
Low-Light Image Enhancement with Wavelet-based Diffusion Models
Low-Light Image Enhancement with Wavelet-based Diffusion ModelsACM Transactions on Graphics (TOG), 2023
Hailin Jiang
Ao Luo
Songchen Han
Haoqiang Fan
Shuaicheng Liu
DiffM
195
254
0
01 Jun 2023
Accelerating Diffusion Models for Inverse Problems through Shortcut
  Sampling
Accelerating Diffusion Models for Inverse Problems through Shortcut SamplingInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Gongye Liu
Haoze Sun
Jiayi Li
Fei Yin
Yujiu Yang
277
29
0
26 May 2023
WaveDM: Wavelet-Based Diffusion Models for Image Restoration
WaveDM: Wavelet-Based Diffusion Models for Image RestorationIEEE transactions on multimedia (IEEE TMM), 2023
Yi Huang
Jiancheng Huang
Jianzhuang Liu
Mingfu Yan
Yu Dong
Jiaxi Lv
Chaoqi Chen
Shifeng Chen
314
84
0
23 May 2023
The probability flow ODE is provably fast
The probability flow ODE is provably fastNeural Information Processing Systems (NeurIPS), 2023
Sitan Chen
Sinho Chewi
Holden Lee
Yuanzhi Li
Jianfeng Lu
Adil Salim
DiffM
329
131
0
19 May 2023
TextDiffuser: Diffusion Models as Text Painters
TextDiffuser: Diffusion Models as Text PaintersNeural Information Processing Systems (NeurIPS), 2023
Jingye Chen
Yupan Huang
Tengchao Lv
Lei Cui
Qifeng Chen
Furu Wei
561
177
0
18 May 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
PTQD: Accurate Post-Training Quantization for Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Yefei He
Luping Liu
Jing Liu
Weijia Wu
Hong Zhou
Bohan Zhuang
DiffMMQ
462
159
0
18 May 2023
Denoising Diffusion Models for Plug-and-Play Image Restoration
Denoising Diffusion Models for Plug-and-Play Image Restoration
Yuanzhi Zhu
Lucas Beerens
Christos Sakaridis
Jingyun Liang
Bihan Wen
Radu Timofte
Luc Van Gool
DiffM
259
342
0
15 May 2023
Relightify: Relightable 3D Faces from a Single Image via Diffusion
  Models
Relightify: Relightable 3D Faces from a Single Image via Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Foivos Paraperas-Papantoniou
Alexandros Lattas
Stylianos Moschoglou
Stefanos Zafeiriou
285
42
0
10 May 2023
A Variational Perspective on Solving Inverse Problems with Diffusion
  Models
A Variational Perspective on Solving Inverse Problems with Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023
Morteza Mardani
Jiaming Song
Jan Kautz
Arash Vahdat
DiffM
323
206
0
07 May 2023
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained
  Diffusion Model
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion ModelAAAI Conference on Artificial Intelligence (AAAI), 2023
Min Yang
Shangchao Su
Bin Li
Xiangyang Xue
DiffM
388
49
0
06 May 2023
ContactArt: Learning 3D Interaction Priors for Category-level
  Articulated Object and Hand Poses Estimation
ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses EstimationInternational Conference on 3D Vision (3DV), 2023
Zehao Zhu
Jiashun Wang
Yuzhe Qin
Deqing Sun
Varun Jampani
Xiaolong Wang
DiffM
212
18
0
02 May 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
Score-Based Diffusion Models as Principled Priors for Inverse ImagingIEEE International Conference on Computer Vision (ICCV), 2023
Berthy Feng
Jamie Smith
Michael Rubinstein
Huiwen Chang
Katherine Bouman
William T. Freeman
DiffM
343
138
0
23 Apr 2023
Plug-and-Play split Gibbs sampler: embedding deep generative priors in
  Bayesian inference
Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inferenceIEEE Transactions on Image Processing (IEEE TIP), 2023
Florentin Coeurdoux
N. Dobigeon
P. Chainais
187
30
0
21 Apr 2023
SpectralDiff: A Generative Framework for Hyperspectral Image
  Classification with Diffusion Models
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion ModelsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Ning Chen
Jun Yue
Leyuan Fang
Shaobo Xia
DiffM
194
95
0
12 Apr 2023
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit
  Models
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit ModelsInternational Conference on Machine Learning (ICML), 2023
Guanhua Zhang
Jiabao Ji
Yang Zhang
Mo Yu
Tommi Jaakkola
Shiyu Chang
DiffM
237
91
0
06 Apr 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models
DiffCollage: Parallel Generation of Large Content with Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Qinsheng Zhang
Jiaming Song
Xun Huang
Yongxin Chen
Xuan Li
DiffM
252
107
0
30 Mar 2023
DiracDiffusion: Denoising and Incremental Reconstruction with Assured
  Data-Consistency
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-ConsistencyInternational Conference on Machine Learning (ICML), 2023
Zalan Fabian
Berk Tınaz
Mahdi Soltanolkotabi
DiffM
137
12
0
25 Mar 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
268
28
0
23 Mar 2023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
FreeDoM: Training-Free Energy-Guided Conditional Diffusion ModelIEEE International Conference on Computer Vision (ICCV), 2023
Jiwen Yu
Yinhuai Wang
Chen Zhao
Guohao Li
Jian Zhang
DiffM
271
268
0
17 Mar 2023
DiffIR: Efficient Diffusion Model for Image Restoration
DiffIR: Efficient Diffusion Model for Image RestorationIEEE International Conference on Computer Vision (ICCV), 2023
Bin Xia
Yulun Zhang
Shiyin Wang
Yitong Wang
Xing Wu
Yapeng Tian
Wenming Yang
Luc Van Gool
DiffM
396
341
0
16 Mar 2023
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style
  Transfer
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style TransferIEEE International Conference on Computer Vision (ICCV), 2023
Serin Yang
Hyunmin Hwang
Jong Chul Ye
DiffM
420
85
0
15 Mar 2023
The Devil's Advocate: Shattering the Illusion of Unexploitable Data
  using Diffusion Models
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
H. M. Dolatabadi
S. Erfani
C. Leckie
DiffM
309
21
0
15 Mar 2023
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets
TrojDiff: Trojan Attacks on Diffusion Models with Diverse TargetsComputer Vision and Pattern Recognition (CVPR), 2023
Weixin Chen
Basel Alomair
Yue Liu
DiffM
274
99
0
10 Mar 2023
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse
  Problems
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse ProblemsInternational Conference on Learning Representations (ICLR), 2023
Hyungjin Chung
Suhyeon Lee
Jong Chul Ye
DiffMMedIm
353
116
0
10 Mar 2023
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model
  for Few-Shot Instance Segmentation
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2023
Minh-Quan Le
Tam V. Nguyen
Trung-Nghia Le
Thanh-Toan Do
Minh N. Do
M. Tran
DiffM
193
19
0
09 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao
Siyu Li
Yixin Liu
Zhiling Yan
Yutong Dai
Philip S. Yu
Lichao Sun
254
721
0
07 Mar 2023
Unlimited-Size Diffusion Restoration
Unlimited-Size Diffusion Restoration
Yinhuai Wang
Jiwen Yu
Runyi Yu
Jian Zhang
192
16
0
01 Mar 2023
DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative
  Diffusion Models
DDM2^22: Self-Supervised Diffusion MRI Denoising with Generative Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023
Tiange Xiang
Mahmut Yurt
Ali B. Syed
Kawin Setsompop
Akshay S. Chaudhari
MedImDiffM
347
69
0
06 Feb 2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory
  Retrieval
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory RetrievalInternational Conference on Machine Learning (ICML), 2023
Kexun Zhang
Xianjun Yang
William Yang Wang
Lei Li
DiffM
339
14
0
05 Feb 2023
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