BeautyGAN

See test.ipynb, includes:

• Face detection from random images
• Facial landmarks detection
• Face alignment
• Inference

Introduction

BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network

Website: http://liusi-group.com/projects/BeautyGAN

Essays and datasets are provided, but no open source code and no trained models are provided.

Result

Usage

• Python3.6
• TensorFlow 1.9

Download pretrained model

• https://pan.baidu.com/s/1wngvgT0qzcKJ5LfLMO7m8A，7lip
• https://drive.google.com/drive/folders/1pgVqnF2-rnOxcUQ3SO4JwHUFTdiSe5t9

Save pretrained model to models

imgs contains 11 non-makeup, 9 makeup images

imgs/no_makeup/xfsy_0068.png default non-makeup source image

python main.py

If you need to put makeup on someone else's face image, pass through the image path. Use a proper size face images.

python main.py --no_makeup xxx.xxx