Image Generation on AnimalFace
16.15FIDTransitional-cGAN + NoisyTwins
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Transitional-cGAN + NoisyTwinsBase Model=Transitional-cGAN, Regularization=NoisyTwins2023.04 | 16.15 | — | — | — | — | — | — | — | — | — | — | |
| SG2+ADA+Noise + NoisyTwinsBase Model=StyleGAN2, Augmentation=ADA + Noise Augmentation, Regularization=NoisyTwins2023.04 | 17.27 | — | — | — | — | — | — | — | — | — | 10.03 | |
| Projected GANResolution=256x2562021.11 | 17.88 | — | — | 0 | 99.8 | 9.5 | 4.22 | 16.89 | 3.79 | 14,340 | — | |
| SG2+ADA+NoiseBase Model=StyleGAN2, Augmentation=ADA + Noise Augmentation2023.04 | 18.78 | — | — | — | — | — | — | — | — | — | 10.42 | |
| SG2+ADABase Model=StyleGAN2, Augmentation=Adaptive Discriminator Augmentation (ADA)2023.04 | 20.25 | — | — | — | — | — | — | — | — | — | 11.12 | |
| Transitional-cGANBase Model=Transitional-cGAN2023.04 | 20.53 | — | — | — | — | — | — | — | — | — | — | |
| BigGAN + gSRcGAN=true2022.08 | 35.76 | — | — | — | — | — | — | — | — | — | — | |
| BigGANcGAN=true2022.08 | 38.41 | — | — | — | — | — | — | — | — | — | — | |
| StyleGAN2-ADAResolution=256x2562021.11 | 60.9 | — | — | 0.0225 | 84.1 | 3.6 | 16.26 | 46.18 | 8.83 | 22,310 | — | |
| FastGANResolution=256x2562021.11 | 62.11 | — | — | 0.0221 | 84.9 | 1.5 | 15.07 | 54.69 | 9.41 | 29,230 | — | |
| SG2Base Model=StyleGAN22023.04 | 94.09 | — | — | — | — | — | — | — | — | — | 29.94 | |
| DATA2021.11 | — | 34 | 33 | — | — | — | — | — | — | — | — | |
| FastGAN2021.11 | — | 7 | 9 | — | — | — | — | — | — | — | — | |
| Projected GAN2021.11 | — | 55 | 49 | — | — | — | — | — | — | — | — | |
| StyleGAN2-ADA2021.11 | — | 4 | 9 | — | — | — | — | — | — | — | — |