Repository to explore Generative Models and in particular image completion methods.
References:
- Image Completion with Deep Learning in TensorFlow
- Building Autoencoders in Keras
- Tutorial On Variational Autoencoders
- What is a Variational Autoencoder?
- Auto-Encoding Variational Bayes
- 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:
