# Facial Makeup Transfer Combining Illumination Transfer

**Authors:** Xin Jin, Rui Han, Ning Ning, Xiaodong Li, Xiaokun Zhang

arXiv: 1907.03398 · 2019-07-09

## TL;DR

This paper introduces a real-time facial makeup transfer method that combines illumination transfer, enabling effective and quick virtual makeup application using only a single reference image, suitable for a Windows platform.

## Contribution

The paper presents a novel real-time facial makeup transfer approach that incorporates illumination transfer, improving effectiveness and speed over existing deep learning methods.

## Key findings

- Effective transfer of dark and white makeup using illumination transfer
- Real-time processing within seconds
- Accurate makeup transfer even with reference images with air-bangs

## Abstract

To meet the women appearance needs, we present a novel virtual experience approach of facial makeup transfer, developed into windows platform application software. The makeup effects could present on the user's input image in real time, with an only single reference image. The input image and reference image are divided into three layers by facial feature points landmarked: facial structure layer, facial color layer, and facial detail layer. Except for the above layers are processed by different algorithms to generate output image, we also add illumination transfer, so that the illumination effect of the reference image is automatically transferred to the input image. Our approach has the following three advantages: (1) Black or dark and white facial makeup could be effectively transferred by introducing illumination transfer; (2) Efficiently transfer facial makeup within seconds compared to those methods based on deep learning frameworks; (3) Reference images with the air-bangs could transfer makeup perfectly.

## Full text

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## Figures

27 figures with captions in the complete paper: https://tomesphere.com/paper/1907.03398/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/1907.03398/full.md

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Source: https://tomesphere.com/paper/1907.03398