VAE paper: Auto-Encoding Variational Bayes
CVAE paper: Learning Structured Output Representation using Deep Conditional Generative Models
In order to run conditional variational autoencoder, add --conditional to the the command. Check out the other commandline options in the code for hyperparameter settings (like learning rate, batch size, encoder/decoder layer depth and size).
All plots obtained after 10 epochs of training. Hyperparameters accordning to default settings in the code; not tuned.
The modeled latent distribution after 10 epochs and 100 samples per digit.
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Randonly sampled z, and their output. For CVAE, each c has been given as input once.
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