Toward Tiny and High-Quality Facial Makeup with Data Amplify Learning

Contemporary makeup approaches primarily hinge on unpaired learning paradigms, yet they grapple with the challenges of inaccurate supervision (e.g., face misalignment) and sophisticated facial prompts (including face parsing, and landmark detection). These challenges prohibit low-cost deployment of...

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Bibliographische Detailangaben

Hauptverfasser:	Jin, Qiaoqiao, Chen, Xuanhong, Jin, Meiguang, Chen, Ying, Shi, Rui, Zheng, Yucheng, Zhu, Yupeng, Ni, Bingbing
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Facial Makeup Image Synthesis Stable Diffusion
Online-Zugang:	Volltext
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