Image Generation on Cityscapes (FID, KID, Precision, Recall)
2.11FIDHP GAN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HP GAN2026.02 | 2.11 | 0.72 | 59 | 46.9 | |
| Projected GAN2026.02 | 3.41 | 0.91 | 61.9 | 36.1 | |
| ADA2026.02 | 8.35 | 3.34 | 64.9 | 14.6 | |
| FastGAN2026.02 | 8.78 | 5.45 | 55.7 | 22.7 |
| Method | Links | ||||
|---|---|---|---|---|---|
| HP GAN2026.02 | 2.11 | 0.72 | 59 | 46.9 | |
| Projected GAN2026.02 | 3.41 | 0.91 | 61.9 | 36.1 | |
| ADA2026.02 | 8.35 | 3.34 | 64.9 | 14.6 | |
| FastGAN2026.02 | 8.78 | 5.45 | 55.7 | 22.7 |