Image Generation On Stanford Cars
Metriken
FID
Inception score
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | FID | Inception score | Paper Title | Repository |
|---|---|---|---|---|
| InfoGAN | 17.63 | 28.62 | InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets | |
| Projected GANs | 2.09 | - | Projected GANs Converge Faster | |
| LR-GAN | 88.80 | 5.25 | LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation | |
| FineGAN | 16.03 | 32.62 | FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery |
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