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

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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},
}

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

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