This repository contains the implementation of the paper Progressive Growing of GANs for Improved Quality, Stability, and Variation in Pytorch. The following experiment will been carried out on MNIST dataset.
- Classes for Generator,Discriminator and PGGAN
- add_layer functions
- adding smoothing branch
- Training procedure.
- Data Loader and Transforming them for training.
- Training it on MNIST data and uploading trained model
- minibatch discrimination
- weight normalisation