PyTorch-StudioGAN
POSTECH-CVLab

StudioGAN ist eine Pytorch-Bibliothek mit Implementierungen repräsentativer Generative Adversarial Networks (GANs) für die bedingte und unbedingte Bildgenerierung.
- Coverage: StudioGAN is a self-contained library that provides 7 GAN architectures, 9 conditioning methods, 4 adversarial losses, 13 regularization modules, 6 augmentation modules, 8 evaluation metrics, and 5 evaluation backbones. Among these configurations, we formulate 30 GANs as representatives.
- Flexibility: Each modularized option is managed through a configuration system that works through a YAML file, so users can train a large combination of GANs by mix-matching distinct options.










