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DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

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

50 / 1,052 papers shown
Title
Diffusion Policies creating a Trust Region for Offline Reinforcement
  Learning
Diffusion Policies creating a Trust Region for Offline Reinforcement Learning
Tianyu Chen
Zhendong Wang
Mingyuan Zhou
OffRL
101
11
0
30 May 2024
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model
  with Mixed Reward Feedback
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
Jiachen Li
Weixi Feng
Tsu-Jui Fu
Xinyi Wang
Sugato Basu
Wenhu Chen
William Y. Wang
VGen
97
34
0
29 May 2024
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement
  Learning
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
Tianle Zhang
Jiayi Guan
Lin Zhao
Yihang Li
Dongjiang Li
...
Lei Sun
Yue Chen
Xuelong Wei
Lusong Li
Xiaodong He
98
2
0
29 May 2024
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
Lianghui Zhu
Zilong Huang
Bencheng Liao
Jun Hao Liew
Hanshu Yan
Jiashi Feng
Xinggang Wang
138
17
0
28 May 2024
Diffusion Rejection Sampling
Diffusion Rejection Sampling
Byeonghu Na
Yeongmin Kim
Minsang Park
DongHyeok Shin
Wanmo Kang
Il-Chul Moon
101
4
0
28 May 2024
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with
  Metric-Decoupled Mixed Precision Quantization
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
Tianchen Zhao
Xuefei Ning
Tongcheng Fang
En-hao Liu
Guyue Huang
Zinan Lin
Shengen Yan
Guohao Dai
Yu Wang
MQDiffM
142
24
0
28 May 2024
Fast Samplers for Inverse Problems in Iterative Refinement Models
Fast Samplers for Inverse Problems in Iterative Refinement Models
Kushagra Pandey
Ruihan Yang
Stephan Mandt
DiffM
105
5
0
27 May 2024
Vista: A Generalizable Driving World Model with High Fidelity and
  Versatile Controllability
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
Shenyuan Gao
Jiazhi Yang
Li Chen
Kashyap Chitta
Yihang Qiu
Andreas Geiger
Jun Zhang
Hongyang Li
173
103
0
27 May 2024
The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient
  Discretization for Diffusion Models
The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models
S. Kandasamy
Dheeraj M. Nagaraj
DiffM
77
3
0
27 May 2024
Transfer Learning for Diffusion Models
Transfer Learning for Diffusion Models
Yidong Ouyang
Liyan Xie
Hongyuan Zha
Guang Cheng
DiffM
130
3
0
27 May 2024
EM Distillation for One-step Diffusion Models
EM Distillation for One-step Diffusion Models
Sirui Xie
Zhisheng Xiao
Diederik P. Kingma
Tingbo Hou
Ying Nian Wu
Kevin Patrick Murphy
Tim Salimans
Ben Poole
Ruiqi Gao
VLMDiffM
117
30
0
27 May 2024
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion
  Models
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
Hengkang Wang
Xu Zhang
Taihui Li
Yuxiang Wan
Tiancong Chen
Ju Sun
DiffM
142
17
0
27 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Yeongmin Kim
Kwanghyeon Lee
Minsang Park
Byeonghu Na
Il-Chul Moon
DiffM
138
2
0
27 May 2024
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
Kai Wang
Yukun Zhou
Mingjia Shi
Zhihang Yuan
Yuzhang Shang
Yuzhang Shang
Hanwang Zhang
Hanwang Zhang
Yang You
164
14
0
27 May 2024
Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models
Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models
Najwa Laabid
Severi Rissanen
Markus Heinonen
Arno Solin
Vikas Garg
DiffM
94
1
0
27 May 2024
Ensembling Diffusion Models via Adaptive Feature Aggregation
Ensembling Diffusion Models via Adaptive Feature Aggregation
Cong Wang
Kuan Tian
Yonghang Guan
Jun Zhang
Zhiwei Jiang
Fei Shen
Xiao Han
129
6
0
27 May 2024
Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion
Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion
Zizhao Hu
Mohammad Rostami
89
0
0
25 May 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at
  Sub-Linear Time Complexity
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
Haoxuan Chen
Yinuo Ren
Lexing Ying
Grant M. Rotskoff
106
23
0
24 May 2024
Towards Understanding the Working Mechanism of Text-to-Image Diffusion
  Model
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
Mingyang Yi
Aoxue Li
Yi Xin
Zhenguo Li
DiffM
135
13
0
24 May 2024
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer
Meng You
Zhiyu Zhu
Hui Liu
Junhui Hou
VGenDiffM
114
25
0
24 May 2024
Learning to Discretize Denoising Diffusion ODEs
Learning to Discretize Denoising Diffusion ODEs
Vinh Tong
Hoang Trung-Dung
Anji Liu
Guy Van den Broeck
Mathias Niepert
DiffM
142
6
0
24 May 2024
Diffusion Bridge Implicit Models
Diffusion Bridge Implicit Models
Kaiwen Zheng
Guande He
Jianfei Chen
Fan Bao
Jun Zhu
DiffM
200
18
0
24 May 2024
SFDDM: Single-fold Distillation for Diffusion models
SFDDM: Single-fold Distillation for Diffusion models
Chi Hong
Jiyue Huang
Robert Birke
Dick H. J. Epema
Stefanie Roos
Lydia Y. Chen
72
1
0
23 May 2024
Improved Distribution Matching Distillation for Fast Image Synthesis
Improved Distribution Matching Distillation for Fast Image Synthesis
Tianwei Yin
Michael Gharbi
Taesung Park
Richard Zhang
Eli Shechtman
Frédo Durand
William T. Freeman
DiffM
154
127
0
23 May 2024
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical
  Image-to-Image Generation
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation
Hongxu Jiang
Muhammad Imran
Linhai Ma
Teng Zhang
Yuyin Zhou
Muxua Liang
Kuang Gong
Wei Shao
DiffMMedIm
81
17
0
23 May 2024
PipeFusion: Displaced Patch Pipeline Parallelism for Inference of
  Diffusion Transformer Models
PipeFusion: Displaced Patch Pipeline Parallelism for Inference of Diffusion Transformer Models
Jiannan Wang
Jiarui Fang
Aoyu Li
PengCheng Yang
AI4CE
127
8
0
23 May 2024
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis
Yao Teng
Yue Wu
Han Shi
Xuefei Ning
Guohao Dai
Yu Wang
Zhenguo Li
Xihui Liu
Mamba
107
42
0
23 May 2024
Survey on Visual Signal Coding and Processing with Generative Models:
  Technologies, Standards and Optimization
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization
Zhibo Chen
Heming Sun
Li Zhang
Fan Zhang
113
3
0
23 May 2024
The Disappearance of Timestep Embedding in Modern Time-Dependent Neural
  Networks
The Disappearance of Timestep Embedding in Modern Time-Dependent Neural Networks
Bum Jun Kim
Yoshinobu Kawahara
Sang Woo Kim
AI4TS
72
1
0
23 May 2024
Enhancing Image Layout Control with Loss-Guided Diffusion Models
Enhancing Image Layout Control with Loss-Guided Diffusion Models
Zakaria Patel
Kirill Serkh
DiffM
78
3
0
23 May 2024
AdjointDEIS: Efficient Gradients for Diffusion Models
AdjointDEIS: Efficient Gradients for Diffusion Models
Zander W. Blasingame
Chen Liu
DiffM
164
5
0
23 May 2024
Score-based Generative Models with Adaptive Momentum
Score-based Generative Models with Adaptive Momentum
Ziqing Wen
Xiaoge Deng
Ping Luo
Tao Sun
Dongsheng Li
DiffM
64
0
0
22 May 2024
Directly Denoising Diffusion Models
Directly Denoising Diffusion Models
Dan Zhang
Jingjing Wang
Feng Luo
DiffM
108
2
0
22 May 2024
How to Trace Latent Generative Model Generated Images without Artificial
  Watermark?
How to Trace Latent Generative Model Generated Images without Artificial Watermark?
Zhenting Wang
Vikash Sehwag
Chen Chen
Lingjuan Lyu
Dimitris N. Metaxas
Shiqing Ma
WIGM
85
9
0
22 May 2024
DisenStudio: Customized Multi-subject Text-to-Video Generation with
  Disentangled Spatial Control
DisenStudio: Customized Multi-subject Text-to-Video Generation with Disentangled Spatial Control
Hong Chen
Xin Wang
Yipeng Zhang
Yuwei Zhou
Zeyang Zhang
Siao Tang
Wenwu Zhu
VGenDiffM
79
10
0
21 May 2024
On the Trajectory Regularity of ODE-based Diffusion Sampling
On the Trajectory Regularity of ODE-based Diffusion Sampling
Defang Chen
Zhenyu Zhou
Can Wang
Chunhua Shen
Siwei Lyu
86
20
0
18 May 2024
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion
  Models via Watermark LoRA
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA
Weitao Feng
Wenbo Zhou
Jiyan He
Jie Zhang
Tianyi Wei
Guanlin Li
Tianwei Zhang
Weiming Zhang
Neng H. Yu
96
21
0
18 May 2024
TexPainter: Generative Mesh Texturing with Multi-view Consistency
TexPainter: Generative Mesh Texturing with Multi-view Consistency
Hongkun Zhang
Zherong Pan
Congyi Zhang
Lifeng Zhu
Xifeng Gao
104
20
0
17 May 2024
Flow Score Distillation for Diverse Text-to-3D Generation
Flow Score Distillation for Diverse Text-to-3D Generation
Runjie Yan
Kailu Wu
Kaisheng Ma
74
3
0
16 May 2024
Infinite Texture: Text-guided High Resolution Diffusion Texture
  Synthesis
Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis
Yifan Wang
Aleksander Holynski
Brian L. Curless
Steven M. Seitz
66
2
0
13 May 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
Hanshu Yan
Xingchao Liu
Jiachun Pan
Jun Hao Liew
Qiang Liu
Jiashi Feng
147
48
0
13 May 2024
Training-free Subject-Enhanced Attention Guidance for Compositional
  Text-to-image Generation
Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation
Shengyuan Liu
Bo Wang
Ye Ma
Te Yang
Xipeng Cao
Quan Chen
Han Li
Di Dong
Peng Jiang
EGVM
80
2
0
11 May 2024
Distilling Diffusion Models into Conditional GANs
Distilling Diffusion Models into Conditional GANs
Minguk Kang
Richard Zhang
Connelly Barnes
Sylvain Paris
Suha Kwak
Jaesik Park
Eli Shechtman
Jun-Yan Zhu
Taesung Park
129
45
0
09 May 2024
Frame Interpolation with Consecutive Brownian Bridge Diffusion
Frame Interpolation with Consecutive Brownian Bridge Diffusion
Zonglin Lyu
Ming Li
Jianbo Jiao
Chong Chen
DiffM
109
6
0
09 May 2024
Lumina-T2X: Transforming Text into Any Modality, Resolution, and
  Duration via Flow-based Large Diffusion Transformers
Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers
Peng Gao
Le Zhuo
Ziyi Lin
Ruoyi Du
Xu Luo
...
Weicai Ye
He Tong
Jingwen He
Yu Qiao
Hongsheng Li
VGen
107
91
0
09 May 2024
StableMoFusion: Towards Robust and Efficient Diffusion-based Motion
  Generation Framework
StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework
Yiheng Huang
Hui Yang
Chuanchen Luo
Yuxi Wang
Shibiao Xu
Zhaoxiang Zhang
Man Zhang
Junran Peng
VGen
109
14
0
09 May 2024
A Survey on Personalized Content Synthesis with Diffusion Models
A Survey on Personalized Content Synthesis with Diffusion Models
Xu-Lu Zhang
Xiao Wei
Wengyu Zhang
Jinlin Wu
Jiaxin Wu
Zhen Lei
Zhaoxiang Zhang
Zhen Lei
Qing Li
EGVM
251
22
0
09 May 2024
Imagine Flash: Accelerating Emu Diffusion Models with Backward
  Distillation
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation
Jonas Kohler
Albert Pumarola
Edgar Schönfeld
A. Sanakoyeu
Roshan Sumbaly
Peter Vajda
Ali K. Thabet
101
28
0
08 May 2024
CCDM: Continuous Conditional Diffusion Models for Image Generation
CCDM: Continuous Conditional Diffusion Models for Image Generation
Xin Ding
Member Ieee Yongwei Wang
Kao Zhang
F. I. Z. Jane Wang
DiffM
141
5
0
06 May 2024
Efficient Text-driven Motion Generation via Latent Consistency Training
Efficient Text-driven Motion Generation via Latent Consistency Training
Mengxian Hu
Minghao Zhu
Xun Zhou
Qingqing Yan
Shu Li
Chengju Liu
Qi Chen
81
2
0
05 May 2024
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