Poster "sampling acceleration" Papers
13 papers found
Accelerating Diffusion Sampling via Exploiting Local Transition Coherence
shangwen zhu, Han Zhang, Zhantao Yang et al.
ICCV 2025posterarXiv:2503.09675
Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling
Ruoyu Wang, Beier Zhu, Junzhi Li et al.
NeurIPS 2025posterarXiv:2510.23285
1
citations
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
Shengyuan Zhang, Ling Yang, Zejian Li et al.
ICLR 2025posterarXiv:2408.15991
1
citations
Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
Aram Davtyan, Leello Dadi, Volkan Cevher et al.
ICLR 2025poster
5
citations
One Step Diffusion via Shortcut Models
Kevin Frans, Danijar Hafner, Sergey Levine et al.
ICLR 2025posterarXiv:2410.12557
181
citations
PID-controlled Langevin Dynamics for Faster Sampling on Generative Models
Hongyi Chen, Jianhai Shu, Jingtao Ding et al.
NeurIPS 2025posterarXiv:2511.12603
SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories
zhangkai wu, Xuhui Fan, Hongyu Wu et al.
NeurIPS 2025posterarXiv:2502.16972
1
citations
Truncated Consistency Models
Sangyun Lee, Yilun Xu, Tomas Geffner et al.
ICLR 2025posterarXiv:2410.14895
13
citations
Accelerating Convergence of Score-Based Diffusion Models, Provably
Gen Li, Yu Huang, Timofey Efimov et al.
ICML 2024poster
Accelerating Parallel Sampling of Diffusion Models
Zhiwei Tang, Jiasheng Tang, Hao Luo et al.
ICML 2024poster
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
Taehong Moon, Moonseok Choi, EungGu Yun et al.
ICML 2024poster
Efficient Denoising Diffusion via Probabilistic Masking
Weizhong Zhang, Zhiwei Zhang, Renjie Pi et al.
ICML 2024poster
EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Human Motion Generation
Wenyang Zhou, Zhiyang Dou, Zeyu Cao et al.
ECCV 2024poster
77
citations