Image Generation On Afhq Dog
Métriques
FID
clean-FID
clean-KID
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | FID | clean-FID | clean-KID | Paper Title | Repository |
|---|---|---|---|---|---|
| StyleGAN2-ADA | 7.41 | 7.61 ± .02 | 1.28 ± .02 | Training Generative Adversarial Networks with Limited Data | |
| Projected GAN | 4.52 | - | - | Projected GANs Converge Faster | |
| Diffusion InsGen | 4.83 | - | - | Diffusion-GAN: Training GANs with Diffusion | |
| Stylegan2-ada (NVIDIA pre-trained) | - | - | - | Signature and Log-signature for the Study of Empirical Distributions Generated with GANs | |
| Vision-aided GAN | 4.60 | 4.73 ± .02 | 0.38 ± .01 | Ensembling Off-the-shelf Models for GAN Training | |
| DDMI | 8.54 | - | - | DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations |
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