Conditional Image Generation On Artbench 10
Métriques
FID
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | FID |
|---|---|
| analyzing-and-improving-the-image-quality-of | 4.491 |
| consistency-regularization-for-generative-1 | 4.647 |
| training-generative-adversarial-networks-with-2 | 2.625 |
| large-scale-gan-training-for-high-fidelity | 4.055 |
| rebooting-acgan-auxiliary-classifier-gans | 3.175 |
| projected-gans-converge-faster | 11.837 |