Image Generation On Pokemon 256X256
Metrics
FID
Results
Performance results of various models on this benchmark
Model Name | FID | Paper Title | Repository |
|---|---|---|---|
| Projected GAN | 26.36 | Projected GANs Converge Faster | |
| StyleGAN2-ADA | 40.38 | Training Generative Adversarial Networks with Limited Data | |
| StyleGAN-XL | 23.97 | StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets | |
| FastGAN | 81.86 | Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis |
0 of 4 row(s) selected.