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Improved Training Technique for Latent Consistency Models
v1v2 (latest)

Improved Training Technique for Latent Consistency Models

International Conference on Learning Representations (ICLR), 2025
3 February 2025
Quan Dao
Khanh Doan
Di Liu
Trung Le
Dimitris N. Metaxas
ArXiv (abs)PDFHTMLHuggingFace (8 upvotes)

Papers citing "Improved Training Technique for Latent Consistency Models"

50 / 56 papers shown
Title
Large Sign Language Models: Toward 3D American Sign Language Translation
Large Sign Language Models: Toward 3D American Sign Language Translation
S. Zhang
Xiaoxiao He
Di Liu
Zhaoyang Xia
Mingyu Zhao
Chaowei Tan
Vivian Li
Bo Liu
Dimitris N. Metaxas
Mubbasir Kapadia
SLR
225
0
0
11 Nov 2025
Improved Training Technique for Shortcut Models
Improved Training Technique for Shortcut Models
Anh-Tien Nguyen
Viet-Anh Nguyen
D. Vu
T. Dao
Chi Tran
Toan M. Tran
Anh Tran
BDL
175
1
0
24 Oct 2025
A Continuous-Time Consistency Model for 3D Point Cloud Generation
A Continuous-Time Consistency Model for 3D Point Cloud Generation
Sebastian Eilermann
Rene Heesch
Oliver Niggemann
3DPC
109
0
0
01 Sep 2025
Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars
Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars
Eric M. Chen
Di Liu
Sizhuo Ma
Michael Vasilkovsky
Bing Zhou
...
Wei Wang
Jiahao Luo
Dimitris N. Metaxas
Vincent Sitzmann
Jian Wang
3DGS
411
1
0
15 Mar 2025
LUCAS: Layered Universal Codec Avatars
LUCAS: Layered Universal Codec AvatarsComputer Vision and Pattern Recognition (CVPR), 2025
Di Liu
Teng Deng
Giljoo Nam
Yu Rong
Stanislav Pidhorskyi
Junxuan Li
Jason M. Saragih
Dimitris N. Metaxas
Chen Cao
3DGS
305
3
0
27 Feb 2025
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation
Quan Dao
Hao Phung
T. Dao
Dimitris Metaxas
Anh Tran
375
1
0
22 Dec 2024
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image GenerationNeural Information Processing Systems (NeurIPS), 2024
Hao Phung
Quan Dao
T. Dao
Hoang Phan
Dimitris Metaxas
Anh Tran
Mamba
594
12
0
06 Nov 2024
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
Xiaoxiao He
Ligong Han
Quan Dao
Song Wen
Minhao Bai
...
Hongdong Li
Junzhou Huang
Faez Ahmed
Akash Srivastava
Dimitris N. Metaxas
DiffMSyDa
304
9
0
10 Oct 2024
Consistency Models Made Easy
Consistency Models Made Easy
Zhengyang Geng
Ashwini Pokle
William Luo
Justin Lin
J. Zico Kolter
215
74
0
20 Jun 2024
Layout-Agnostic Scene Text Image Synthesis with Diffusion Models
Layout-Agnostic Scene Text Image Synthesis with Diffusion Models
Qilong Zhangli
Jindong Jiang
Di Liu
Licheng Yu
Xiaoliang Dai
Ankit Ramchandani
Guan Pang
Dimitris N. Metaxas
Praveen Krishnan
DiffM
397
15
0
03 Jun 2024
Distilling Diffusion Models into Conditional GANs
Distilling Diffusion Models into Conditional GANsEuropean Conference on Computer Vision (ECCV), 2024
Minguk Kang
Richard Zhang
Connelly Barnes
Sylvain Paris
Suha Kwak
Jaesik Park
Eli Shechtman
Jun-Yan Zhu
Taesung Park
618
68
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
454
113
0
21 Apr 2024
Multistep Consistency Models
Multistep Consistency Models
Jonathan Heek
Emiel Hoogeboom
Tim Salimans
193
55
0
11 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
287
39
0
29 Feb 2024
DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing
  High-Quality Implicit Neural Representations
DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural RepresentationsInternational Conference on Learning Representations (ICLR), 2024
Dogyun Park
S. Kim
Sojin Lee
Hyunwoo J. Kim
DiffM
272
11
0
23 Jan 2024
One-step Diffusion with Distribution Matching Distillation
One-step Diffusion with Distribution Matching DistillationComputer Vision and Pattern Recognition (CVPR), 2023
Tianwei Yin
Michael Gharbi
Richard Zhang
Eli Shechtman
Frédo Durand
William T. Freeman
Taesung Park
DiffM
755
488
0
30 Nov 2023
Adversarial Diffusion Distillation
Adversarial Diffusion DistillationEuropean Conference on Computer Vision (ECCV), 2023
Axel Sauer
Dominik Lorenz
A. Blattmann
Robin Rombach
803
577
0
28 Nov 2023
Improved Techniques for Training Consistency Models
Improved Techniques for Training Consistency ModelsInternational Conference on Learning Representations (ICLR), 2023
Yang Song
Prafulla Dhariwal
248
292
0
22 Oct 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory
  of Diffusion
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of DiffusionInternational Conference on Learning Representations (ICLR), 2023
Dongjun Kim
Chieh-Hsin Lai
Wei-Hsiang Liao
Naoki Murata
Yuhta Takida
Toshimitsu Uesaka
Yutong He
Yuki Mitsufuji
Stefano Ermon
DiffM
374
306
0
01 Oct 2023
Relay Diffusion: Unifying diffusion process across resolutions for image
  synthesis
Relay Diffusion: Unifying diffusion process across resolutions for image synthesisInternational Conference on Learning Representations (ICLR), 2023
Jiayan Teng
Wendi Zheng
Ming Ding
Wenyi Hong
Jianqiao Wangni
Zhuoyi Yang
Jie Tang
DiffM
188
69
0
04 Sep 2023
Flow Matching in Latent Space
Flow Matching in Latent Space
Quan Dao
Hao Phung
Binh Duc Nguyen
Anh Tran
271
105
0
17 Jul 2023
Improving Tuning-Free Real Image Editing with Proximal Guidance
Improving Tuning-Free Real Image Editing with Proximal GuidanceIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Ligong Han
Song Wen
Qi Chen
Zhixing Zhang
Kunpeng Song
...
Qilong Zhangli
Jindong Jiang
Zhaoyang Xia
Akash Srivastava
Dimitris N. Metaxas
DiffM
226
83
0
08 Jun 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with
  Variational Score Distillation
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score DistillationNeural Information Processing Systems (NeurIPS), 2023
Zhengyi Wang
Cheng Lu
Yikai Wang
Fan Bao
Chongxuan Li
Hang Su
Jun Zhu
DiffM
306
1,122
0
25 May 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Multisample Flow Matching: Straightening Flows with Minibatch CouplingsInternational Conference on Machine Learning (ICML), 2023
Aram-Alexandre Pooladian
Heli Ben-Hamu
Carles Domingo-Enrich
Brandon Amos
Y. Lipman
Ricky T. Q. Chen
280
200
0
28 Apr 2023
An Edit Friendly DDPM Noise Space: Inversion and Manipulations
An Edit Friendly DDPM Noise Space: Inversion and ManipulationsComputer Vision and Pattern Recognition (CVPR), 2023
Inbar Huberman-Spiegelglas
Vladimir Kulikov
T. Michaeli
DiffM
274
228
0
12 Apr 2023
Anti-DreamBooth: Protecting users from personalized text-to-image
  synthesis
Anti-DreamBooth: Protecting users from personalized text-to-image synthesisIEEE International Conference on Computer Vision (ICCV), 2023
T. Le
Hao Phung
Thuan Hoang Nguyen
Quan Dao
Ngoc N. Tran
Anh Tran
292
128
0
27 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
221
114
0
07 Mar 2023
Consistency Models
Consistency ModelsInternational Conference on Machine Learning (ICML), 2023
Yang Song
Prafulla Dhariwal
Mark Chen
Ilya Sutskever
VLMDiffM
368
1,370
0
02 Mar 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
820
5,549
1
10 Feb 2023
Improving and generalizing flow-based generative models with minibatch
  optimal transport
Improving and generalizing flow-based generative models with minibatch optimal transport
Alexander Tong
Kilian Fatras
Nikolay Malkin
G. Huguet
Yanlei Zhang
Jarrid Rector-Brooks
Guy Wolf
Yoshua Bengio
OODDiffMOT
394
533
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01 Feb 2023
Minimizing Trajectory Curvature of ODE-based Generative Models
Minimizing Trajectory Curvature of ODE-based Generative ModelsInternational Conference on Machine Learning (ICML), 2023
Sangyun Lee
Beomsu Kim
Jong Chul Ye
427
72
0
27 Jan 2023
Multi-Concept Customization of Text-to-Image Diffusion
Multi-Concept Customization of Text-to-Image DiffusionComputer Vision and Pattern Recognition (CVPR), 2022
Nupur Kumari
Bin Zhang
Richard Y. Zhang
Eli Shechtman
Jun-Yan Zhu
539
1,122
0
08 Dec 2022
Wavelet Diffusion Models are fast and scalable Image Generators
Wavelet Diffusion Models are fast and scalable Image GeneratorsComputer Vision and Pattern Recognition (CVPR), 2022
Hao Phung
Quan Dao
Anh Tran
DiffM
177
147
0
29 Nov 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions
InstructPix2Pix: Learning to Follow Image Editing InstructionsComputer Vision and Pattern Recognition (CVPR), 2022
Tim Brooks
Aleksander Holynski
Alexei A. Efros
DiffM
508
2,399
0
17 Nov 2022
On Distillation of Guided Diffusion Models
On Distillation of Guided Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Chenlin Meng
Robin Rombach
Ruiqi Gao
Diederik P. Kingma
Stefano Ermon
Jonathan Ho
Tim Salimans
VLMDiffM
170
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06 Oct 2022
DreamFusion: Text-to-3D using 2D Diffusion
DreamFusion: Text-to-3D using 2D DiffusionInternational Conference on Learning Representations (ICLR), 2022
Ben Poole
Ajay Jain
Jonathan T. Barron
B. Mildenhall
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29 Sep 2022
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language
  Models
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language ModelsNeural Information Processing Systems (NeurIPS), 2022
Xiuying Wei
Yunchen Zhang
Xiangguo Zhang
Yazhe Niu
Shanghang Zhang
Tao Gui
F. Yu
Xianglong Liu
MQ
334
190
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27 Sep 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for
  Subject-Driven Generation
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven GenerationComputer Vision and Pattern Recognition (CVPR), 2022
Nataniel Ruiz
Yuanzhen Li
Varun Jampani
Yael Pritch
Michael Rubinstein
Kfir Aberman
744
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Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative ModelsNeural Information Processing Systems (NeurIPS), 2022
Tero Karras
M. Aittala
Timo Aila
S. Laine
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High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021
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Dominik Lorenz
Patrick Esser
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Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
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Vector Quantized Diffusion Model for Text-to-Image Synthesis
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SDEdit: Guided Image Synthesis and Editing with Stochastic Differential
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Score-based Generative Modeling in Latent Space
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Soft Truncation: A Universal Training Technique of Score-based Diffusion
  Model for High Precision Score Estimation
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