Color

Color Makeup - Training Guideline

This is a training guideline for Color Branch (C), one out of two branches in Color-Pattern Makeup Transfer (CPM).

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For Color Branch, we used the same CycleGAN-based model like BeautyGAN. But instead of normal training pair, we used our novel UV-space.

1. Download Makeup Transfer Dataset & unzip it. The dataset folder should be like:

   all
   |__ images
   	|__ makeup
   	|__ non-makeup
   |__ segs
   	|__ makeup
   	|__ non-makeup
   

2. Get UV texture: Use PRNet to get respective uv-map texture of each image and its segmentation mask

python create_beautygan_uv.py --path /path/to/makeup_transfer_dataset --savedir /path/to/save_folder

Result will be saved in --savedir folder. You should find image pair like this:

From left to right: Segmentation Mask, UV-texture.

3. Train Color Branch: Follow instruction at BeautyGAN-pytorch-reimplementation or BeautyGAN-pytorch-implementation to re-train model with newly established dataset.