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

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

./datasets/download_cyclegan_dataset.sh <dataset>

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

python single_image_test.py <input_image> --gpu <gpu> --load_gen_model <trained_generator> --output <output_image>

left: input (horse), right: output (zebra)

[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

Name		Name	Last commit message	Last commit date
Latest commit History 48 Commits
datasets		datasets
instance_normalization		instance_normalization
.gitignore		.gitignore
README.md		README.md
dataset.py		dataset.py
input.jpg		input.jpg
net.py		net.py
result.jpg		result.jpg
single_image_test.py		single_image_test.py
test.py		test.py
train.py		train.py
updater.py		updater.py
visualization.py		visualization.py