Image Generation On Stanford Dogs
Métriques
FID
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | FID | Paper Title | Repository |
|---|---|---|---|
| Projected GAN | 11.75 | Projected GANs Converge Faster | - |
| FineGAN | 25.66 | FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery | - |
| InfoGAN | 29.34 | InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets | - |
| LR-GAN | 54.91 | LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation | - |
0 of 4 row(s) selected.