Image Generation On Stanford Cars
Metrics
FID
Inception score
Results
Performance results of various models on this benchmark
Model Name | 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 |
0 of 4 row(s) selected.