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cs.CV2024
RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation
Zhaoyang Sun, Fei Du, Weihua Chen +4
Recently, the success of text-to-image synthesis has greatly advanced the development of identity customization techniques, whose main goal is to produce realistic identity-specifi…
cs.CV2024
SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models
Zhaoyang Sun, Shengwu Xiong, Yaxiong Chen +4
This paper studies the challenging task of makeup transfer, which aims to apply diverse makeup styles precisely and naturally to a given facial image. Due to the absence of paired…
cs.CV2024
Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth
Zhaoyang Sun, Shengwu Xiong, Yaxiong Chen +1
The absence of real targets to guide the model training is one of the main problems with the makeup transfer task. Most existing methods tackle this problem by synthesizing pseudo…