Corpus ID: 3559987

Conditional generative adversarial nets for convolutional face generation

@inproceedings{Gauthier2015ConditionalGA,
  title={Conditional generative adversarial nets for convolutional face generation},
  author={Jon Gauthier},
  year={2015}
}
  • Jon Gauthier
  • Published 2015
  • We apply an extension of generative adversarial networks (GANs) [8] to a conditional setting. In the GAN framework, a “generator” network is tasked with fooling a “discriminator” network into believing that its own samples are real data. We add the capability for each network to condition on some arbitrary external data which describes the image being generated or discriminated. By varying the conditional information provided to this extended GAN, we can use the resulting generative model to… CONTINUE READING
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