Definition
Progressive growing GAN (PGGAN) is a specific architecture of GAN. The model addresses the challenges of traditional GAN by growing both the generator and discriminator, from low-resolution to high-resolution, progressively throughout the training process.
Architecture
The generator and discriminator are symmetric. New layers are added symmetrically to both networks as resolution increases. Convolutional layers are used throughout the network.
Training
Training starts with both D and G having a very low resolution. During training, gradually add new layers to both the D and G to increase the resolution.