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DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

2 June 2022
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
    DiffM
ArXivPDFHTML

Papers citing "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps"

50 / 980 papers shown
Title
Seeing is not always believing: Benchmarking Human and Model Perception
  of AI-Generated Images
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images
Zeyu Lu
Di Huang
Lei Bai
Jingjing Qu
Chengzhi Wu
Xihui Liu
Wanli Ouyang
26
52
0
25 Apr 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling
  in Offline Reinforcement Learning
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
Cheng Lu
Huayu Chen
Jianfei Chen
Hang Su
Chongxuan Li
Jun Zhu
DiffM
OffRL
27
59
0
25 Apr 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion
  Models
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang
Yi Ding
Huangjie Zheng
Peihao Wang
Pengcheng He
Zhangyang Wang
Weizhu Chen
Mingyuan Zhou
38
99
0
25 Apr 2023
Fast Diffusion Probabilistic Model Sampling through the lens of Backward
  Error Analysis
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis
Yansong Gao
Zhihong Pan
Xiaoxia Zhou
Le Kang
Pratik Chaudhari
DiffM
23
5
0
22 Apr 2023
On Accelerating Diffusion-Based Sampling Process via Improved
  Integration Approximation
On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation
Guoqiang Zhang
Niwa Kenta
W. Kleijn
DiffM
15
8
0
22 Apr 2023
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
Guoqiang Zhang
Niwa Kenta
W. Kleijn
DiffM
19
9
0
22 Apr 2023
Align your Latents: High-Resolution Video Synthesis with Latent
  Diffusion Models
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
A. Blattmann
Robin Rombach
Huan Ling
Tim Dockhorn
Seung Wook Kim
Sanja Fidler
Karsten Kreis
3DGS
VGen
118
1,016
0
18 Apr 2023
Refusion: Enabling Large-Size Realistic Image Restoration with
  Latent-Space Diffusion Models
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
Ziwei Luo
Fredrik K. Gustafsson
Zhengli Zhao
Jens Sjölund
Thomas B. Schon
30
100
0
17 Apr 2023
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for
  Accelerated MRI
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
Zhuoxu Cui
Chentao Cao
Yue Wang
Seng Jia
Jing Cheng
Xin Liu
Hairong Zheng
Dong Liang
Yanjie Zhu
MedIm
DiffM
27
9
0
11 Apr 2023
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion
Zihan Cao
Shiqi Cao
Xiao Wu
Junming Hou
Ran Ran
Liang-Jian Deng
DiffM
38
15
0
10 Apr 2023
Towards Real-time Text-driven Image Manipulation with Unconditional
  Diffusion Models
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models
Nikita Starodubcev
Dmitry Baranchuk
Valentin Khrulkov
Artem Babenko
DiffM
49
4
0
10 Apr 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
Weijian Luo
DiffM
MedIm
52
33
0
09 Apr 2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
Moritz Reuss
M. Li
Xiaogang Jia
Rudolf Lioutikov
DiffM
53
157
0
05 Apr 2023
$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified
  States
∞\infty∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
Sam Bond-Taylor
Chris G. Willcocks
34
15
0
31 Mar 2023
A Closer Look at Parameter-Efficient Tuning in Diffusion Models
A Closer Look at Parameter-Efficient Tuning in Diffusion Models
Chendong Xiang
Fan Bao
Chongxuan Li
Hang Su
Jun Zhu
DiffM
14
16
0
31 Mar 2023
3D-aware Image Generation using 2D Diffusion Models
3D-aware Image Generation using 2D Diffusion Models
Jianfeng Xiang
Jiaolong Yang
Binbin Huang
Xin Tong
DiffM
45
65
0
31 Mar 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
Eric Zhang
Kai Wang
Xingqian Xu
Zhangyang Wang
Humphrey Shi
DiffM
46
175
0
30 Mar 2023
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image
  Generation
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation
Guangcong Zheng
Xianpan Zhou
Xuewei Li
Zhongang Qi
Ying Shan
Xi Li
DiffM
38
172
0
30 Mar 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models
DiffCollage: Parallel Generation of Large Content with Diffusion Models
Qinsheng Zhang
Jiaming Song
Xun Huang
Yongxin Chen
Xuan Li
DiffM
31
82
0
30 Mar 2023
Training-free Content Injection using h-space in Diffusion Models
Training-free Content Injection using h-space in Diffusion Models
Jaeseok Jeong
Mingi Kwon
Youngjung Uh
DiffM
26
24
0
27 Mar 2023
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
Shanghua Gao
Pan Zhou
Mingg-Ming Cheng
Shuicheng Yan
DiffM
145
156
0
25 Mar 2023
Conditional Image-to-Video Generation with Latent Flow Diffusion Models
Conditional Image-to-Video Generation with Latent Flow Diffusion Models
Haomiao Ni
Changhao Shi
Kaican Li
Sharon X. Huang
Martin Renqiang Min
VGen
DiffM
30
165
0
24 Mar 2023
Ablating Concepts in Text-to-Image Diffusion Models
Ablating Concepts in Text-to-Image Diffusion Models
Nupur Kumari
Bin Zhang
Sheng-Yu Wang
Eli Shechtman
Richard Y. Zhang
Jun-Yan Zhu
VLM
21
184
0
23 Mar 2023
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT
Wenjun Xia
H. Tseng
Chuang Niu
W. Cong
Xiaohua Zhang
Shaohua Liu
R. Ning
Srinivasan Vedantham
Ge Wang
DiffM
MedIm
21
4
0
22 Mar 2023
A Recipe for Watermarking Diffusion Models
A Recipe for Watermarking Diffusion Models
Yunqing Zhao
Tianyu Pang
Chao Du
Xiao Yang
Ngai-man Cheung
Min Lin
WIGM
30
115
0
17 Mar 2023
DialogPaint: A Dialog-based Image Editing Model
DialogPaint: A Dialog-based Image Editing Model
Jingxuan Wei
Shiyu Wu
Xin Jiang
Yequan Wang
KELM
DiffM
24
5
0
17 Mar 2023
Diffusion-based Target Sampler for Unsupervised Domain Adaptation
Diffusion-based Target Sampler for Unsupervised Domain Adaptation
Yulong Zhang
Shuhao Chen
Yu Zhang
Jiangang Lu
DiffM
42
0
0
17 Mar 2023
HIVE: Harnessing Human Feedback for Instructional Visual Editing
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Shu Zhen Zhang
Xinyi Yang
Yihao Feng
Can Qin
Chia-Chih Chen
...
Haiquan Wang
Silvio Savarese
Stefano Ermon
Caiming Xiong
Ran Xu
20
104
0
16 Mar 2023
Efficient Diffusion Training via Min-SNR Weighting Strategy
Efficient Diffusion Training via Min-SNR Weighting Strategy
Tiankai Hang
Shuyang Gu
Chen Li
Jianmin Bao
Dong Chen
Han Hu
Xin Geng
B. Guo
30
150
0
16 Mar 2023
LDMVFI: Video Frame Interpolation with Latent Diffusion Models
LDMVFI: Video Frame Interpolation with Latent Diffusion Models
Duolikun Danier
Fan Zhang
David Bull
DiffM
VGen
33
48
0
16 Mar 2023
DIRE for Diffusion-Generated Image Detection
DIRE for Diffusion-Generated Image Detection
Zhendong Wang
Jianmin Bao
Wen-gang Zhou
Weilun Wang
Hezhen Hu
Hong Chen
Houqiang Li
27
195
0
16 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
Fan Bao
Shen Nie
Kaiwen Xue
Chongxuan Li
Shiliang Pu
Yaole Wang
Gang Yue
Yue Cao
Hang Su
Jun Zhu
DiffM
207
150
0
12 Mar 2023
Score-Based Generative Models for Medical Image Segmentation using
  Signed Distance Functions
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions
L. Bogensperger
Dominik Narnhofer
Filip Ilic
Thomas Pock
DiffM
MedIm
19
8
0
10 Mar 2023
Scaling up GANs for Text-to-Image Synthesis
Scaling up GANs for Text-to-Image Synthesis
Minguk Kang
Jun-Yan Zhu
Richard Y. Zhang
Jaesik Park
Eli Shechtman
Sylvain Paris
Taesung Park
46
445
0
09 Mar 2023
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
Matthew Leigh
Debasish Sengupta
Guillaume Quétant
J. A. Raine
K. Zoch
T. Golling
DiffM
37
46
0
09 Mar 2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
Cones: Concept Neurons in Diffusion Models for Customized Generation
Zhiheng Liu
Ruili Feng
Kai Zhu
Yifei Zhang
Kecheng Zheng
Yu Liu
Deli Zhao
Jingren Zhou
Yang Cao
DiffM
111
121
0
09 Mar 2023
Identification of Systematic Errors of Image Classifiers on Rare
  Subgroups
Identification of Systematic Errors of Image Classifiers on Rare Subgroups
J. H. Metzen
Robin Hutmacher
N. G. Hua
Valentyn Boreiko
Dan Zhang
AAML
VLM
61
19
0
09 Mar 2023
TRACT: Denoising Diffusion Models with Transitive Closure
  Time-Distillation
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
David Berthelot
Arnaud Autef
Jierui Lin
Dian Ang Yap
Shuangfei Zhai
Siyuan Hu
Daniel Zheng
Walter Talbot
Eric Gu
DiffM
31
81
0
07 Mar 2023
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via
  Ranking Oracles
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
Zhiwei Tang
Dmitry Rybin
Tsung-Hui Chang
ALM
DiffM
39
26
0
07 Mar 2023
SePaint: Semantic Map Inpainting via Multinomial Diffusion
SePaint: Semantic Map Inpainting via Multinomial Diffusion
Zheng Chen
Deepak Duggirala
David J. Crandall
Lei Jiang
Lantao Liu
DiffM
36
2
0
05 Mar 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
Unleashing Text-to-Image Diffusion Models for Visual Perception
Wenliang Zhao
Yongming Rao
Zuyan Liu
Benlin Liu
Jie Zhou
Jiwen Lu
ObjD
VLM
MDE
163
217
0
03 Mar 2023
Consistency Models
Consistency Models
Yang Song
Prafulla Dhariwal
Mark Chen
Ilya Sutskever
VLM
DiffM
63
872
0
02 Mar 2023
StraIT: Non-autoregressive Generation with Stratified Image Transformer
StraIT: Non-autoregressive Generation with Stratified Image Transformer
Shengju Qian
Huiwen Chang
Yuanzhen Li
Zizhao Zhang
Jiaya Jia
Han Zhang
39
10
0
01 Mar 2023
Unlimited-Size Diffusion Restoration
Unlimited-Size Diffusion Restoration
Yinhuai Wang
Jiwen Yu
Runyi Yu
Jian Zhang
50
15
0
01 Mar 2023
On Calibrating Diffusion Probabilistic Models
On Calibrating Diffusion Probabilistic Models
Tianyu Pang
Cheng Lu
Chao Du
Min Lin
Shuicheng Yan
Zhijie Deng
DiffM
38
2
0
21 Feb 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few
  Labels
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Zebin You
Yong Zhong
Fan Bao
Jiacheng Sun
Chongxuan Li
Jun Zhu
DiffM
VLM
209
36
0
21 Feb 2023
DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
Jiasheng Ye
Zaixiang Zheng
Yu Bao
Lihua Qian
Mingxuan Wang
DiffM
38
44
0
20 Feb 2023
Composer: Creative and Controllable Image Synthesis with Composable
  Conditions
Composer: Creative and Controllable Image Synthesis with Composable Conditions
Lianghua Huang
Di Chen
Yu Liu
Yujun Shen
Deli Zhao
Jingren Zhou
DiffM
22
279
0
20 Feb 2023
Restoration based Generative Models
Restoration based Generative Models
Jaemoo Choi
Yesom Park
Myung-joo Kang
DiffM
AI4CE
44
5
0
20 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun
Yiming Yang
DiffM
38
121
0
16 Feb 2023
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