Skip to content
/ FAST Public

FAST: Flexibly Controllable Arbitrary Style Transfer via Latent Diffusion models(ACM ToMM 2025)

Notifications You must be signed in to change notification settings

wd1511/FAST

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

FAST

FAST: Flexibly Controllable Arbitrary Style Transfer via Latent Diffusion models
Hanzhang Wang*, Haoran Wang*, Zhongrui Yu, Mingming Sun, Junjun Jiang, Xianming Liu, Deming Zhai
ACM Transactions on Multimedia Computing, Communications, and Applications (ToMM), 2025.
[Paper] [ArXiv] [Project] [Code]

Requirements

  • python==3.8.0
  • pytorch==2.0.0
  • diffusers==0.14.0
  • xformers==0.0.17

use ./environment.yml or download diffusers_env.tar.gz

Reference

Citation:

@article{wang2025fast,
  title={FAST: Flexibly Controllable Arbitrary Style Transfer via Latent Diffusion models},
  author={Wang, Hanzhang and Wang, Haoran and Yu, Zhongrui and Sun, Mingming and Jiang, Junjun and Liu, Xianming and Zhai, Deming},
  journal={ACM Transactions on Multimedia Computing, Communications and Applications},
  publisher={ACM New York, NY},
  year={2025},
}

About

FAST: Flexibly Controllable Arbitrary Style Transfer via Latent Diffusion models(ACM ToMM 2025)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •  

Languages