Image Generation on ImageNet Carnivore
13.65FIDTransitional-cGAN + NoisyTwins
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Transitional-cGAN + NoisyTwinsBase Model=Transitional-cGAN, Regularization=NoisyTwins2023.04 | 13.65 | — | |
| Transitional-cGANBase Model=Transitional-cGAN2023.04 | 14.6 | — | |
| SG2+ADA+Noise + NoisyTwinsBase Model=StyleGAN2, Augmentation=ADA + Noise Augmentation, Regularization=NoisyTwins2023.04 | 16.01 | 12.41 | |
| SG2+ADA+NoiseBase Model=StyleGAN2, Augmentation=ADA + Noise Augmentation2023.04 | 19.25 | 12.51 | |
| SG2+ADABase Model=StyleGAN2, Augmentation=Adaptive Discriminator Augmentation (ADA)2023.04 | 22.77 | 12.85 | |
| SG2Base Model=StyleGAN22023.04 | 111.83 | 36.34 |