Image Generation On Lsun Horse 256 X 256
평가 지표
Clean-FID (trainfull)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Clean-FID (trainfull) | Paper Title | Repository |
|---|---|---|---|
| PGGAN | 14.09 ± 0.06 | Progressive Growing of GANs for Improved Quality, Stability, and Variation | |
| Vision-aided GAN | 2.11 | Ensembling Off-the-shelf Models for GAN Training | |
| StyleGAN2 | 4.06 ± 0.03 | Analyzing and Improving the Image Quality of StyleGAN | |
| Projected GAN | - | Projected GANs Converge Faster | |
| StyleGAN | 4.78 ± 0.03 | A Style-Based Generator Architecture for Generative Adversarial Networks | |
| ADM (dropout) | - | Diffusion Models Beat GANs on Image Synthesis |
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