ikostrikov / Tensorflow Vae Gan Draw
Licence: apache-2.0
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
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TF-VAE-GAN-DRAW
TensorFlow implementation of Deep Convolutional Generative Adversarial Networks, Variational Autoencoder (also Deep and Convolutional) and DRAW: A Recurrent Neural Network For Image Generation.
Run
VAE/GAN:
python main.py --working_directory /tmp/gan --model vae
DRAW:
python main-draw.py --working_directory /tmp/gan
Deep 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
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