Repository to explore Generative Models and in particular image completion methods.

References:

0. Image Completion with Deep Learning in TensorFlow
1. Building Autoencoders in Keras
2. Tutorial On Variational Autoencoders
3. What is a Variational Autoencoder?
4. Auto-Encoding Variational Bayes
5. Learning Structured Output Representation using Deep Conditional Generative Models

Found in ./vae.keras.py. After about 15 epochs the latent encodings looks like this: (apologies for the lack of a legend.)

and we can visualize the latent space manifold:

Found in ./cvae.keras.py. After about two epochs I am able to generate samples: