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Improved Training Technique for Latent Consistency Models

International Conference on Learning Representations (ICLR), 2025

3 February 2025

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Papers citing "Improved Training Technique for Latent Consistency Models"

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Title
Flow Straighter and Faster: Efficient One-Step Generative Modeling via MeanFlow on Rectified Trajectories Xinxi Zhang Shiwei Tan Quang Nguyen Quan Dao Ligong Han Xiaoxiao He Tunyu Zhang Alen Mrdovic Dimitris N. Metaxas 244 0 0 28 Nov 2025
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 304 1 0 11 Nov 2025
Improved Training Technique for Shortcut Models Anh-Tien Nguyen Viet-Anh Nguyen D. Vu T. Dao Chi Tran Toan M. Tran Anh Tran BDL 219 1 0 24 Oct 2025
A Continuous-Time Consistency Model for 3D Point Cloud Generation Sebastian Eilermann Rene Heesch Oliver Niggemann 3DPC 149 0 0 01 Sep 2025
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 465 1 0 15 Mar 2025
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 381 5 0 27 Feb 2025
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 470 1 0 22 Dec 2024
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 718 14 0 06 Nov 2024
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 DiffM SyDa 368 9 0 10 Oct 2024
Consistency Models Made Easy Zhengyang Geng Ashwini Pokle William Luo Justin Lin J. Zico Kolter 259 79 0 20 Jun 2024
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 457 15 0 03 Jun 2024
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 770 74 0 09 May 2024
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 530 117 0 21 Apr 2024
Multistep Consistency Models Jonathan Heek Emiel Hoogeboom Tim Salimans 245 56 0 11 Mar 2024
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 343 42 0 29 Feb 2024
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 316 13 0 23 Jan 2024
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 979 531 0 30 Nov 2023
Adversarial Diffusion DistillationEuropean Conference on Computer Vision (ECCV), 2023 Axel Sauer Dominik Lorenz A. Blattmann Robin Rombach 881 595 0 28 Nov 2023
Improved Techniques for Training Consistency ModelsInternational Conference on Learning Representations (ICLR), 2023 Yang Song Prafulla Dhariwal 304 298 0 22 Oct 2023
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 458 315 0 01 Oct 2023
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 224 70 0 04 Sep 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 355 107 0 17 Jul 2023
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 306 83 0 08 Jun 2023
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 362 1,147 0 25 May 2023
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 356 204 0 28 Apr 2023
An Edit Friendly DDPM Noise Space: Inversion and ManipulationsComputer Vision and Pattern Recognition (CVPR), 2023 Inbar Huberman-Spiegelglas Vladimir Kulikov T. Michaeli DiffM 390 235 0 12 Apr 2023
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 352 130 0 27 Mar 2023
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 249 117 0 07 Mar 2023
Consistency ModelsInternational Conference on Machine Learning (ICML), 2023 Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 480 1,416 0 02 Mar 2023
Adding Conditional Control to Text-to-Image Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023 Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 936 5,767 1 10 Feb 2023
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 OOD DiffM OT 534 561 0 01 Feb 2023
Minimizing Trajectory Curvature of ODE-based Generative ModelsInternational Conference on Machine Learning (ICML), 2023 Sangyun Lee Beomsu Kim Jong Chul Ye 532 75 0 27 Jan 2023
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 685 1,162 0 08 Dec 2022
Wavelet Diffusion Models are fast and scalable Image GeneratorsComputer Vision and Pattern Recognition (CVPR), 2022 Hao Phung Quan Dao Anh Tran DiffM 205 152 0 29 Nov 2022
InstructPix2Pix: Learning to Follow Image Editing InstructionsComputer Vision and Pattern Recognition (CVPR), 2022 Tim Brooks Aleksander Holynski Alexei A. Efros DiffM 669 2,488 0 17 Nov 2022
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 VLM DiffM 224 695 0 06 Oct 2022
DreamFusion: Text-to-3D using 2D DiffusionInternational Conference on Learning Representations (ICLR), 2022 Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 846 3,143 0 29 Sep 2022
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 374 192 0 27 Sep 2022
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 977 3,747 0 25 Aug 2022
Elucidating the Design Space of Diffusion-Based Generative ModelsNeural Information Processing Systems (NeurIPS), 2022 Tero Karras M. Aittala Timo Aila S. Laine DiffM 890 2,737 0 01 Jun 2022
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021 Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer DiffM 2.6K 20,975 0 20 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 419 669 0 15 Dec 2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis Shuyang Gu Dong Chen Jianmin Bao Fang Wen Bo Zhang Dongdong Chen Lu Yuan B. Guo DiffM 442 941 0 29 Nov 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng Yutong He Yang Song Jiaming Song Jiajun Wu Jun-Yan Zhu Stefano Ermon DiffM 587 1,896 0 02 Aug 2021
Score-based Generative Modeling in Latent SpaceNeural Information Processing Systems (NeurIPS), 2021 Arash Vahdat Karsten Kreis Jan Kautz DiffM 422 801 0 10 Jun 2021
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score EstimationInternational Conference on Machine Learning (ICML), 2021 Dongjun Kim Seung-Jae Shin Kyungwoo Song Wanmo Kang Il-Chul Moon 557 110 0 10 Jun 2021
Diffusion Models Beat GANs on Image SynthesisNeural Information Processing Systems (NeurIPS), 2021 Prafulla Dhariwal Alex Nichol 2.7K 10,265 0 11 May 2021
Score-Based Generative Modeling through Stochastic Differential EquationsInternational Conference on Learning Representations (ICLR), 2020 Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 1.9K 8,784 0 26 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 4.9K 25,697 0 19 Jun 2020
Generative Modeling by Estimating Gradients of the Data DistributionNeural Information Processing Systems (NeurIPS), 2019 Yang Song Stefano Ermon SyDa DiffM 769 4,834 0 12 Jul 2019

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Improved Training Technique for Latent Consistency Models

Papers citing "Improved Training Technique for Latent Consistency Models"