This repository contains various VAE implementations and their corresponding results obtained via training them: Convolutional VAE, IntroVAE, PixelVAE, VAE/GAN.
Third Year Project Report can be consulted here.
Note that the datasets were removed from the workspace due to space constraints. For CIFAR-10, no modification should be needed as the dataset is downloaded automatically. In order to use this code for CelebA, download the dataset into a "celeb/celeb" path.
Credits for the architectures we experimented with and for general development ideas go to the following GitHub users:
- jonhare - Dr. Jonathon Hare - Convolutional VAE
- pbloem - Dr. Peter Bloem - PixelVAE
- dragen1860 - Jackie Loong - IntroVAE
- seangal - VAE/GAN
- bbeatrix - IntroVAE.