TensorFlow implementation of Deep Convolutional Generative Adversarial Networks, Variational Autoencoder (also Deep and Convolutional) and DRAW: A Recurrent Neural Network For Image Generation.
VAE/GAN:
python main.py --working_directory /tmp/gan --model vaeDRAW:
python main-draw.py --working_directory /tmp/ganDeep Convolutional Generative Adversarial Networks produce decent results after 10 epochs using default parameters.
###TODO:
- More complex data.
- Add Adversarial Autoencoder
- Replace current attention mechanism with Spatial Transformer Layer