Image Generation On Stanford Dogs
Metrics
FID
Results
Performance results of various models on this benchmark
Model Name | 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 |
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