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hvy authored Feb 18, 2017
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Chainer implementation of the Wesserstein GAN by Martin Arjovsky et al. Note that this is not the official implementation. The official implementation is https://github.com/martinarjovsky/WassersteinGAN.

Also, a summary of the paper can be found [here](https://paper.dropbox.com/doc/Wasserstein-GAN-GvU0p2V9ThzdwY3BbhoP7). It explains the intuition behind the approximation of the EM distance and the problem with Jensen-Shannon divergence.

## Run

Train the models with CIFAR-10. Images will be randomly sampled from the generator after each epoch, and saved under a subdirectory `result/` (which is created automatically).
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