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https://github.com/wkentaro/chainer-cyclegan
Chainer implementation of "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Network".
https://github.com/wkentaro/chainer-cyclegan
chainer computer-graphics computer-vision cyclegan deep-learning gan generative-adversarial-network image-generation image-manipulation pix2pix
Last synced: 4 months ago
JSON representation
Chainer implementation of "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Network".
- Host: GitHub
- URL: https://github.com/wkentaro/chainer-cyclegan
- Owner: wkentaro
- Created: 2017-12-17T07:32:05.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-03-18T13:00:23.000Z (almost 6 years ago)
- Last Synced: 2024-10-05T06:07:24.659Z (4 months ago)
- Topics: chainer, computer-graphics, computer-vision, cyclegan, deep-learning, gan, generative-adversarial-network, image-generation, image-manipulation, pix2pix
- Language: Python
- Homepage:
- Size: 29.6 MB
- Stars: 10
- Watchers: 4
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# chainer-cyclegan
[![Build Status](https://travis-ci.org/wkentaro/chainer-cyclegan.svg?branch=master)](https://travis-ci.org/wkentaro/chainer-cyclegan)
Chainer implementation of ["Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Network"](https://arxiv.org/abs/1703.10593).
This is a faithful re-implementation of [the official PyTorch implementation](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix).## Installation
```bash
git clone --recursive https://github.com/wkentaro/chainer-cyclegan.git
cd chainer-cycleganconda install -c menpo -y opencv
pip install .
```or
```bash
pip install chainer-cyclegan
```## Training
```bash
cd examples/cyclegan# ./train.py --gpu
./train.py horse2zebra --gpu 0
```## Results
### apple2orange
![](examples/cyclegan/.readme/apple2orange_epoch200.jpg)
### summer2winter_yosemite
![](examples/cyclegan/.readme/summer2winter_yosemite_epoch94.jpg)
### horse2zebra
![](examples/cyclegan/.readme/horse2zebra_epoch200.jpg)
### monet2photo
![](examples/cyclegan/.readme/monet2photo_epoch50.jpg)
### cezanne2photo
![](examples/cyclegan/.readme/cezanne2photo_epoch22.jpg)
### ukiyoe2photo
![](examples/cyclegan/.readme/ukiyoe2photo_epoch108.jpg)
### vangogh2photo
![](examples/cyclegan/.readme/vangogh2photo_epoch63.jpg)
### maps
![](examples/cyclegan/.readme/maps_epoch200.jpg)
### cityscapes
![](examples/cyclegan/.readme/cityscapes_epoch17.jpg)
### facades
![](examples/cyclegan/.readme/facades_epoch200.jpg)
### iphone2dslr_flower
![](examples/cyclegan/.readme/iphone2dslr_flower_epoch200.jpg)