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ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Zhao, Tianchen, Fang, Tongcheng, Huang, Haofeng, Liu, Enshu, Wan, Rui, Soedarmadji, Widyadewi, Li, Shiyao, Lin, Zinan, Dai, Guohao, Yan, Shengen, Yang, Huazhong, Ning, Xuefei, Wang, Yu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
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