Image Generation on AnimalFace Dog standard (train)
15.68FIDHP-GAN
Evaluation results
| Method | Links | |
|---|---|---|
| HP-GAN2026.02 | 15.68 | |
| QADDRS2026.02 | 16.57 | |
| DANI2026.02 | 16.81 | |
| Diffusion GAN2026.02 | 17.22 | |
| Projected GAN2026.02 | 17.88 | |
| FakeCLR2026.02 | 42.02 | |
| InsGen2026.02 | 44.93 | |
| GenCo2026.02 | 49.63 | |
| FastGAN2026.02 | 50.66 | |
| LeCam GAN2026.02 | 54.88 | |
| StyleGAN2-ADAadaptive_discriminator_augmentation=true2026.02 | 56.83 | |
| EDM + DAdata_augmentation=true2026.02 | 57.14 | |
| StyleGAN2-DAdata_augmentation=true2026.02 | 58.85 | |
| TFGAN+DAdata_augmentation=true2026.02 | 65.57 | |
| FreezeD2026.02 | 70.46 | |
| Patch Diffusion2026.02 | 72.17 | |
| TFGAN2026.02 | 82.38 | |
| Scale/shift2026.02 | 83.04 | |
| MineGAN2026.02 | 93.03 | |
| StyleGAN22026.02 | 130.2 |