Introduction

The goal of this project is to explore autoencoders and variational autoencoders to generate images of faces.

• Autoencoders has been implemented on the CUFS dataset

• VAE's have been implemneted on the CUFS and CelebA datasets

Refer the handout and report for more details.

Also checkout the results of Generative adversarial networks applied to the same task here

Results

Autoencoder results (on CUFS)

Variational autoencoder results (on CUFS)

Variational autoencoder results (on CelebA)