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Consistency Trajectory Models: Learning Probability Flow ODE Trajectory
  of Diffusion

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

1 October 2023
Dongjun Kim
Chieh-Hsin Lai
Wei-Hsiang Liao
Naoki Murata
Yuhta Takida
Toshimitsu Uesaka
Yutong He
Yuki Mitsufuji
Stefano Ermon
    DiffM
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Papers citing "Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion"

47 / 47 papers shown
Title
Few-Step Diffusion via Score identity Distillation
Few-Step Diffusion via Score identity Distillation
Mingyuan Zhou
Yi Gu
Zhendong Wang
5
0
0
19 May 2025
Fast Text-to-Audio Generation with Adversarial Post-Training
Fast Text-to-Audio Generation with Adversarial Post-Training
Zachary Novack
Zach Evans
Zack Zukowski
Josiah Taylor
CJ Carr
...
Adnan Al-Sinan
Gian Marco Iodice
Julian McAuley
Taylor Berg-Kirkpatrick
Jordi Pons
30
0
0
13 May 2025
Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions
Convergence Of Consistency Model With Multistep Sampling Under General Data Assumptions
Yiding Chen
Yiyi Zhang
Owen Oertell
Wen Sun
DiffM
52
0
0
06 May 2025
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities
Distilling Two-Timed Flow Models by Separately Matching Initial and Terminal Velocities
Pramook Khungurn
Pratch Piyawongwisal
Sira Sriswadi
Supasorn Suwajanakorn
34
0
0
02 May 2025
Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings
Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings
Andreas Sochopoulos
Nikolay Malkin
Nikolaos Tsagkas
João Moura
Michael Gienger
S. Vijayakumar
47
1
0
02 May 2025
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees
Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees
Nishant Jain
Xunpeng Huang
Yian Ma
Tong Zhang
46
0
0
02 May 2025
Gaussian Mixture Flow Matching Models
Gaussian Mixture Flow Matching Models
Hansheng Chen
Kai Zhang
Hao Tan
Zexiang Xu
Fujun Luan
Leonidas J. Guibas
Gordon Wetzstein
Sai Bi
DiffM
63
0
0
07 Apr 2025
EvolvingGrasp: Evolutionary Grasp Generation via Efficient Preference Alignment
EvolvingGrasp: Evolutionary Grasp Generation via Efficient Preference Alignment
Yufei Zhu
Yiming Zhong
Zemin Yang
Peishan Cong
Jingyi Yu
X. Zhu
Y. Ma
58
1
0
18 Mar 2025
Learning Few-Step Diffusion Models by Trajectory Distribution Matching
Yihong Luo
Tianyang Hu
Jiacheng Sun
Yujun Cai
Jing Tang
DiffM
88
1
0
13 Mar 2025
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
Junsong Chen
Shuchen Xue
Yuyang Zhao
Jincheng Yu
Sayak Paul
Junyu Chen
Han Cai
E. Xie
Enze Xie
VLM
66
2
0
12 Mar 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms
Jiaming Song
Linqi Zhou
DiffM
68
0
0
10 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Kaiwen Zheng
Yongxin Chen
Huayu Chen
Guande He
Xuan Li
Jun Zhu
Qinsheng Zhang
DiffM
49
0
0
03 Mar 2025
Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile
Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile
Hangliang Ding
Dacheng Li
Runlong Su
Peiyuan Zhang
Zhijie Deng
Ion Stoica
Hao Zhang
VGen
73
4
0
10 Feb 2025
Improved Training Technique for Latent Consistency Models
Improved Training Technique for Latent Consistency Models
Quan Dao
Khanh Doan
Di Liu
Trung Le
Dimitris N. Metaxas
62
3
0
03 Feb 2025
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
Emiel Hoogeboom
Thomas Mensink
Jonathan Heek
Kay Lamerigts
Ruiqi Gao
Tim Salimans
125
6
0
25 Oct 2024
Truncated Consistency Models
Truncated Consistency Models
Sangyun Lee
Yilun Xu
Tomas Geffner
Giulia Fanti
Karsten Kreis
Arash Vahdat
Weili Nie
57
3
0
18 Oct 2024
How to Backdoor Consistency Models?
How to Backdoor Consistency Models?
Chengen Wang
Murat Kantarcioglu
DiffM
AAML
177
1
0
14 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations
Distillation of Discrete Diffusion through Dimensional Correlations
Satoshi Hayakawa
Yuhta Takida
Masaaki Imaizumi
Hiromi Wakaki
Yuki Mitsufuji
DiffM
61
0
0
11 Oct 2024
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
Ayano Hiranaka
Shang-Fu Chen
Chieh-Hsin Lai
Dongjun Kim
Naoki Murata
Takashi Shibuya
Wei-Hsiang Liao
Shao-Hua Sun
Yuki Mitsufuji
47
1
0
07 Oct 2024
Presto! Distilling Steps and Layers for Accelerating Music Generation
Presto! Distilling Steps and Layers for Accelerating Music Generation
Zachary Novack
Ge Zhu
Jonah Casebeer
Julian McAuley
Taylor Berg-Kirkpatrick
Nicholas J. Bryan
45
5
0
07 Oct 2024
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Zichen Miao
Zhengyuan Yang
Kevin Lin
Ze Wang
Zicheng Liu
Lijuan Wang
Qiang Qiu
48
3
0
04 Oct 2024
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
Yao Teng
Han Shi
Xian Liu
Xuefei Ning
Guohao Dai
Yu Wang
Zhenguo Li
Xihui Liu
55
10
0
02 Oct 2024
KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model
KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model
Weichen Dai
Yezeng Chen
Zijie Dai
Zhijie Huang
Lingjuan Lyu
...
Chengli Zhong
Xinhe Li
Zeyu Wang
Zhuoying Feng
Yi Zhou
35
0
0
27 Sep 2024
OSV: One Step is Enough for High-Quality Image to Video Generation
OSV: One Step is Enough for High-Quality Image to Video Generation
Xiaofeng Mao
Zhengkai Jiang
Fu-Yun Wang
Wenbing Zhu
Hao Chen
Mingmin Chi
Yabiao Wang
Wenhan Luo
DiffM
VGen
77
8
0
17 Sep 2024
Physics-Inspired Generative Models in Medical Imaging: A Review
Physics-Inspired Generative Models in Medical Imaging: A Review
Dennis Hein
Afshin Bozorgpour
Dorit Merhof
Ge Wang
DiffM
MedIm
AI4CE
39
0
0
15 Jul 2024
Improving the Training of Rectified Flows
Improving the Training of Rectified Flows
Sangyun Lee
Zinan Lin
Giulia Fanti
41
19
0
30 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
71
10
0
27 May 2024
Diffusion Bridge Implicit Models
Diffusion Bridge Implicit Models
Kaiwen Zheng
Guande He
Jianfei Chen
Fan Bao
Jun Zhu
DiffM
84
13
0
24 May 2024
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory
  Score Matching
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching
Xingyu Miao
Haoran Duan
Varun Ojha
Jun Song
Tejal Shah
Yang Long
R. Ranjan
35
3
0
18 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
46
37
0
09 May 2024
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image
  Synthesis
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
Yuxi Ren
Xin Xia
Yanzuo Lu
Jiacheng Zhang
Jie Wu
Pan Xie
Xing Wang
Xuefeng Xiao
45
65
0
21 Apr 2024
Bidirectional Consistency Models
Bidirectional Consistency Models
Liangchen Li
Jiajun He
DiffM
67
11
0
26 Mar 2024
Improving Diffusion-Based Generative Models via Approximated Optimal
  Transport
Improving Diffusion-Based Generative Models via Approximated Optimal Transport
Daegyu Kim
Jooyoung Choi
Chaehun Shin
Uiwon Hwang
Sungroh Yoon
OT
42
2
0
08 Mar 2024
On the Asymptotic Mean Square Error Optimality of Diffusion Models
On the Asymptotic Mean Square Error Optimality of Diffusion Models
B. Fesl
Benedikt Bock
Florian Strasser
Michael Baur
M. Joham
Wolfgang Utschick
DiffM
33
0
0
05 Mar 2024
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
Hongjian Liu
Qingsong Xie
Zhijie Deng
Chen Chen
Shixiang Tang
Fueyang Fu
Zheng-Jun Zha
H. Lu
Zheng-jun Zha
49
6
0
03 Mar 2024
Trajectory Consistency Distillation: Improved Latent Consistency
  Distillation by Semi-Linear Consistency Function with Trajectory Mapping
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping
Jianbin Zheng
Minghui Hu
Zhongyi Fan
Chaoyue Wang
Changxing Ding
Dacheng Tao
Tat-Jen Cham
43
26
0
29 Feb 2024
Object-Centric Diffusion for Efficient Video Editing
Object-Centric Diffusion for Efficient Video Editing
Kumara Kahatapitiya
Adil Karjauv
Davide Abati
Fatih Porikli
Yuki M. Asano
A. Habibian
VGen
40
12
0
11 Jan 2024
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step
  Diffusion Models
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
Fei Kong
Jinhao Duan
Lichao Sun
Hao-Ran Cheng
Renjing Xu
Hengtao Shen
Xiao-lan Zhu
Xiaoshuang Shi
Kaidi Xu
44
3
0
23 Nov 2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse
  Problems with Denoising Diffusion Restoration
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
Naoki Murata
Koichi Saito
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
Yuki Mitsufuji
Stefano Ermon
DiffM
56
49
0
30 Jan 2023
DiffRoll: Diffusion-based Generative Music Transcription with
  Unsupervised Pretraining Capability
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability
K. Cheuk
Ryosuke Sawata
Toshimitsu Uesaka
Naoki Murata
Naoya Takahashi
Shusuke Takahashi
Dorien Herremans
Yuki Mitsufuji
DiffM
45
16
0
11 Oct 2022
Sampling is as easy as learning the score: theory for diffusion models
  with minimal data assumptions
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen
Sinho Chewi
Jungshian Li
Yuanzhi Li
Adil Salim
Anru R. Zhang
DiffM
135
247
0
22 Sep 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim
Byeonghu Na
S. Kwon
Dongsoo Lee
Wanmo Kang
Il-Chul Moon
DiffM
213
51
0
27 May 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
182
490
0
01 Feb 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
215
783
0
27 Jan 2022
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
342
1,591
0
10 Nov 2021
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
195
258
0
07 Jan 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
1