Image Generation On Cub 128 X 128
Metriken
FID
Inception score
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | FID | Inception score | Paper Title | Repository |
|---|---|---|---|---|
| LR-GAN | 34.91 | 13.50 | LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation | |
| Projected GAN | 2.79 | - | Projected GANs Converge Faster | |
| FineGAN | 11.25 | 52.53 | FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery | |
| InfoGAN | 13.20 | 47.32 | InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets |
0 of 4 row(s) selected.