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https://github.com/wkentaro/chainer-bicyclegan

Chainer implementation of "Toward Multimodal Image-to-Image Translation".
https://github.com/wkentaro/chainer-bicyclegan

chainer computer-graphics computer-vision deep-learning gan generative-adversarial-network image-generation pix2pix

Last synced: 4 months ago
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Chainer implementation of "Toward Multimodal Image-to-Image Translation".

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# chainer-bicyclegan

[![Build Status](https://travis-ci.org/wkentaro/chainer-bicyclegan.svg?branch=master)](https://travis-ci.org/wkentaro/chainer-bicyclegan)

Chainer implementation of ["Toward Multimodal Image-to-Image Translation"](https://arxiv.org/abs/1711.11586).
This is a faithful re-implementation of [the official PyTorch implementation](https://github.com/junyanz/BicycleGAN).

## Installation

```bash
git clone --recursive https://github.com/wkentaro/chainer-bicyclegan.git
cd chainer-bicyclegan

conda install -c menpo -y opencv
pip install .
```

## Training

```bash
cd examples/bicyclegan

# ./train.py --gpu
./train.py edges2shoes --gpu 0
```

## Results

It shows that the BicycleGAN output has more variety with smaller batchsize.

### edges2shoes

- batchsize=2,epoch=60 (left)
- batchsize=60,epoch=60 (right)

### edges2handbags

- batchsize=2,epoch=5 (left)
- batchsize=60,epoch=15 (right)