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2502.01441
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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
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HuggingFace (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
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A Continuous-Time Consistency Model for 3D Point Cloud Generation
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Rene Heesch
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Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars
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Di Liu
Sizhuo Ma
Michael Vasilkovsky
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Wei Wang
Jiahao Luo
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Vincent Sitzmann
Jian Wang
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15 Mar 2025
LUCAS: Layered Universal Codec Avatars
Computer 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
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27 Feb 2025
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation
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Hao Phung
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Anh Tran
375
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0
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DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation
Neural Information Processing Systems (NeurIPS), 2024
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06 Nov 2024
DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
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Ligong Han
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Song Wen
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Hongdong Li
Junzhou Huang
Faez Ahmed
Akash Srivastava
Dimitris N. Metaxas
DiffM
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Consistency Models Made Easy
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Ashwini Pokle
William Luo
Justin Lin
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Layout-Agnostic Scene Text Image Synthesis with Diffusion Models
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Jindong Jiang
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Licheng Yu
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Distilling Diffusion Models into Conditional GANs
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Minguk Kang
Richard Zhang
Connelly Barnes
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Suha Kwak
Jaesik Park
Eli Shechtman
Jun-Yan Zhu
Taesung Park
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09 May 2024
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
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Xin Xia
Yanzuo Lu
Jiacheng Zhang
Jie Wu
Pan Xie
Xing Wang
Xuefeng Xiao
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Multistep Consistency Models
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Emiel Hoogeboom
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Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping
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Minghui Hu
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DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations
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S. Kim
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One-step Diffusion with Distribution Matching Distillation
Computer Vision and Pattern Recognition (CVPR), 2023
Tianwei Yin
Michael Gharbi
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Frédo Durand
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Adversarial Diffusion Distillation
European Conference on Computer Vision (ECCV), 2023
Axel Sauer
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Improved Techniques for Training Consistency Models
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Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
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Chieh-Hsin Lai
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Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
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Flow Matching in Latent Space
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Improving Tuning-Free Real Image Editing with Proximal Guidance
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Song Wen
Qi Chen
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ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
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An Edit Friendly DDPM Noise Space: Inversion and Manipulations
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TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
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