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https://github.com/musyoku/wasserstein-gan

Chainer implementation of Wasserstein GAN
https://github.com/musyoku/wasserstein-gan

chainer dcgan gan wgan

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Chainer implementation of Wasserstein GAN

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README

        

## Wasserstein GAN

- Code for the [paper](https://arxiv.org/abs/1701.07875)
- [実装について](http://musyoku.github.io/2017/02/06/Wasserstein-GAN/)
- See also:
- [Unrolled Generative Adversarial Networks](https://arxiv.org/abs/1611.02163)
- [Chainer implementation of Unrolled GAN](https://github.com/musyoku/unrolled-gan)

### Requirements

- Chainer

## Mixture of Gaussians Dataset

![image](https://github.com/musyoku/musyoku.github.io/blob/085c1d022e49dcaf81cda3a2f53bf2febbb61991/images/post/2017-02-04/gaussian_mixture.png?raw=true)

## MNIST

generated images

![image](https://github.com/musyoku/musyoku.github.io/blob/085c1d022e49dcaf81cda3a2f53bf2febbb61991/images/post/2017-02-04/mnist.png?raw=true)

## Animeface Dataset

loss

![image](https://github.com/musyoku/musyoku.github.io/blob/f581cb7cd343e6247d1ee23a169bcfbd321c5d51/images/post/2017-02-04/loss_curve.png?raw=true)

generated images

![image](https://github.com/musyoku/musyoku.github.io/blob/f581cb7cd343e6247d1ee23a169bcfbd321c5d51/images/post/2017-02-04/anime_gen.png?raw=true)