Presentation

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Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model

DescriptionStable-Makeup is a diffusion-based makeup transfer method. It leverages a Detail-Preserving makeup encoder, and content-structure control modules to preserve facial content and structure during transfer. Extensive experiments show that Stable-Makeup outperforms existing methods, offering robust, generalizable performance.

Authors

Yuxuan Zhang

Shanghai Jiao Tong University

Yirui Yuan

Shanghai Tech University

Yiren Song

National University of Singapore

Jiaming Liu

Tiamat AI