A sub-repository about Generative Adversarial Networks(GANs), a kind of deep generative models prevailing in CV for a long time in years from 2014 to 2019
It's hard to well-classify the GANs, so an expedient method is to give a taxonomy based on structures and training strategies
- Vanilla GANs Some resources about GANs in the vanilla structure and loss function
- Improved GANs Some resources about works upgrading GANs' structure or loss function to improve their training stability
- Hierarchy GANs Some resources to use GAN as a component for a model in a hierarchy structure, such as two or more GANs work together
- Fused GANs Some resources to fuse GANs with other DGMs, like VAE, Diffusers, ViT
- Survey Some surveys on GANs