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Image Generation On Stanford Cars
評価指標
FID
Inception score
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
| Paper Title | Repository | |||
|---|---|---|---|---|
| LR-GAN | 88.80 | 5.25 | LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation | |
| InfoGAN | 17.63 | 28.62 | InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets | |
| FineGAN | 16.03 | 32.62 | FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery | |
| Projected GANs | 2.09 | - | Projected GANs Converge Faster |
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