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Variational Autoencoder in Tensorflow

This is an Tensorflow implementation of a variational autoencoder for the deep learning course at USC (CSCI-599 Deep Learning and its Applications) taught by Professor Joseph Lim. The slides of this lecture are available here. This demo code is written by Shao-Hua Sun.

Results

Reconstruction

Generation

Transformation

Latent space

Related works

VAE

Generative models

Author

Shao-Hua Sun / @shaohua0116 @ Joseph Lim's research lab @ USC