Project to study generative deep learning models.
With a small database of over 440 videos with 64 frames each(after pre-processing), a deep convolutional generative adversarial network was developed to try to generate videos.
generated_video.mp4 is an example of a video generated by the gan defined at DCGAN.pynb. DCGAN2.pynb is an attempt to create a conditional gan.
The videos used as dataset are private.