Corpus ID: 31613184

EmotiGAN : Emoji Art using Generative Adversarial Networks

@inproceedings{Puyat2017EmotiGANE,
  title={EmotiGAN : Emoji Art using Generative Adversarial Networks},
  author={Marcel Puyat},
  year={2017}
}
We investigate a Generative Adversarial Network (GAN) approach to generating emojis from text. We focus on two interesting research areas related to GANs: training stability and mode collapse. In doing so, we explore a novel GAN training approach that involves training a generator with different images with the same conditional label in order to produce more varying kinds of images with Conditional GANs. 

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