Reproducing code of hair style replacement method from Barbershorp.

Related tags

Deep Learning Barber
Overview

Barbershorp

Reproducing code of hair style replacement method from Barbershorp. Also reproduces II2S, an improved version of Image2StyleGAN.

Requirements

Tested on Windows, which includes:

numpy              1.17
opencv-python      4.5.1
pytorchcv          0.0.67
torch              1.7.1+cu110
tqdm               4.6

Opencv is only for visualization, not necessary for computation.

Usage

Get StyleGAN model file stylegan2-ffhq-config-f.pt as described in https://github.com/rosinality/stylegan2-pytorch.

Run II2S to get latent code(s) of input image(s).

python II2S.py --ckpt stylegan2-ffhq-config-f.pt --size 1024 --w_plus 'ImagePath1.png' 'ImagePath2.png'

Specify the related paths and parameters in config.py, then run barbershorp.py:

python barbershorp.py

Code References

stylegan2_pytorch code was taken from https://github.com/rosinality/stylegan2-pytorch

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