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Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching

Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching

12 September 2025
Zhixin Zheng
Xinyu Wang
Chang Zou
Shaobo Wang
Linfeng Zhang
ArXiv (abs)PDFHTMLGithub (5★)

Papers citing "Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching"

2 / 2 papers shown
Title
Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications
Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications
Hai-Long Qin
Jincheng Dai
Guo Lu
Shuo Shao
Sixian Wang
Tongda Xu
Wenjun Zhang
Ping Zhang
Khaled B. Letaief
DiffMVLM
208
0
0
11 Nov 2025
A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation
A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation
Jiacheng Liu
Xinyu Wang
Yuqi Lin
Zhikai Wang
P. Wang
...
Zexuan Yan
Zhengyi Shi
Chang Zou
Yue Ma
Linfeng Zhang
195
0
0
22 Oct 2025
1