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