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Conditional generative adversarial networks for convolutional face generation

License: BSD 3-Clause "New" or "Revised" License

Python 100.00%

adversarial's Introduction

Conditional Generative Adversarial Networks

Demonstration of deterministic control of image samples. We tweak conditional information to first make the sampled faces age, then again to make them smile.

This repository implements an extension of the Generative Adversarial Network to a conditioned setting. For more information, see the paper included in this repository.

The code in this repository is based on the code released in the paper:

"Generative Adversarial Networks." Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio. ArXiv 2014.

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