IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
FSAMT: Face Shape Adaptive Makeup Transfer
Haoran LUOTengfei SHAOShenglei LIReiko HISHIYAMA
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2024 Volume E107.D Issue 8 Pages 1059-1069

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Abstract

Makeup transfer is the process of applying the makeup style from one picture (reference) to another (source), allowing for the modification of characters' makeup styles. To meet the diverse makeup needs of individuals or samples, the makeup transfer framework should accurately handle various makeup degrees, ranging from subtle to bold, and exhibit intelligence in adapting to the source makeup. This paper introduces a “3-level” adaptive makeup transfer framework, addressing facial makeup through two sub-tasks: 1. Makeup adaptation, utilizing feature descriptors and eyelid curve algorithms to classify 135 organ-level face shapes; 2. Makeup transfer, achieved by learning the reference picture from three branches (color, highlight, pattern) and applying it to the source picture. The proposed framework, termed “Face Shape Adaptive Makeup Transfer” (FSAMT), demonstrates superior results in makeup transfer output quality, as confirmed by experimental results.

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© 2024 The Institute of Electronics, Information and Communication Engineers
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