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

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

4 June 2024
Tianchen Zhao
Tongcheng Fang
Haofeng Huang
Enshu Liu
Widyadewi Soedarmadji
Shiyao Li
Zinan Lin
Guohao Dai
Shengen Yan
Huazhong Yang
Xuefei Ning
Xuefei Ning
Yu Wang
    MQ
    VGen
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Papers citing "ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation"

4 / 4 papers shown
Title
Predicting Team Performance from Communications in Simulated Search-and-Rescue
Ali Jalal-Kamali
Nikolos Gurney
David Pynadath
AI4TS
75
37
0
05 Mar 2025
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K
  Text-to-Image Generation
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Junsong Chen
Chongjian Ge
Enze Xie
Yue Wu
Lewei Yao
Xiaozhe Ren
Zhongdao Wang
Ping Luo
Huchuan Lu
Zhenguo Li
95
17
0
07 Mar 2024
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation
Weiming Ren
Harry Yang
Ge Zhang
Cong Wei
Xinrun Du
Stephen W. Huang
Wenhu Chen
DiffM
VGen
54
21
0
06 Feb 2024
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
211
9,999
0
18 May 2015
1