← Search

Peter H. Tu

1 accepted papers

2020

From Symbols to Signals: Symbolic Variational Autoencoders

ICASSP 2020accepted

We introduce Symbolic Variational Autoencoders which generate images from symbols that represent semantic concepts. Unlike generic Variational Autoencoders (VAEs) or Generative Adversarial Networks (GANs), the latent distribution from the Symbolic Variational Autoencoder is discrete. The symbols are…

Cited by 0SourceScholar