Makeup based on segmentation and local transfer

Yuanhan Zhang, Haidong Cui, Yidong Li, Zheng Feng
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Abstract

In this paper, we introduce an automatic beauty system based on semantic segmentation and local transfer. The user provides a source image and a target image as a reference. Our system create a new makeup upon the face of source image with target image as reference. More precisely, we transfer each makeup areas(lip gloss, eye shadow, eyebrow)to corresponding parts of the face. One major advantages of our approach is we create this new makeup for source image locally, this not only caters to the requirement of users but also renders makeup upon face of source image more naturally. The effectiveness of the proposed are demonstrated in the experiments.
化妆基于分割和局部转移
本文介绍了一种基于语义分割和局部迁移的自动美容系统。用户提供一个源图像和一个目标图像作为参考。我们的系统以目标图像为参考,在源图像的表面上创建一个新的妆容。更准确地说,我们将每个化妆区域(唇彩、眼影、眉毛)转移到脸部的相应部位。我们的方法的一个主要优点是我们在本地为源图像创建新的化妆,这不仅满足了用户的需求,而且使源图像的面部化妆更加自然。实验证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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