This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.
This is implementation of convolutional variational autoencoder in TensorFlow library and it was used for video generation.
Also this is my code for the Siraj Raval's coding challenge "How to Generate Images - Intro to Deep Learning #14".
You can find more about it here
For more info about video generation see jupyter notebook and for implementation details of conv-variational autoencoder see conv_vae.py. Dataset was created by using ffmpeg tool.
All dependencies can be installed by pip.
Credits go to these guys: