crcrpar/chainer-cyclegan

Python

Chainer-CycleGAN

This is an unofficial chainer re-implementation of a paper, Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. This implementation is based on this

Requirements

Python 3.5+
Chainer 2.0+
Numpy
Matplotlib

Usage

Download and expand dataset

Downloadable datasets are listed in ./datasets/download_cyclegan_dataset.sh

./datasets/download_cyclegan_dataset.sh <dataset>

Training

python train.py --load_dataset <dataset> --gpu <gpu>

References

[1]: JY. Zhu, et al. "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks", in ICCV, 2017.
[2]: Original implementation in pytorch
[3]: Chainer-v1 implementation