Conditional Image Generation On Imagenet
المقاييس
FID
Inception score
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | FID | Inception score |
|---|---|---|
| omni-gan-on-the-secrets-of-cgans-and-beyond | 8.30 | 190.94 |
| simple-diffusion-end-to-end-diffusion-for | 3.23 | 171.9 |
| cgans-with-projection-discriminator | 27.62 | 36.8 |
| feature-quantization-improves-gan-training | 13.77 | 54.36 |
| entropy-driven-sampling-and-training-scheme | 2.63 | 159.72 |
| large-scale-gan-training-for-high-fidelity | 5.7 | 124.5 |
| large-scale-gan-training-for-high-fidelity | 8.7 | 98.8 |
| conditional-image-synthesis-with-auxiliary | - | 28.5 |
| high-fidelity-image-generation-with-fewer | 7.7 | 83.1 |
| instance-selection-for-gans | 9.61 | 114.32 |
| entropy-driven-sampling-and-training-scheme | 2.68 | 169.24 |
| self-attention-generative-adversarial | 18.65 | 52.52 |
| your-local-gan-designing-two-dimensional | 15.94 | 57.22 |
| elucidating-the-design-space-of-classifier | 2.19 | - |
| omni-gan-on-the-secrets-of-cgans-and-beyond | 6.53 | 262.85 |
| consistency-regularization-for-generative-1 | 6.66 | - |
| instance-conditioned-gan | 9.5 | 108.6 |
| cgans-with-auxiliary-discriminative | 8.02 | 108.10 |
| is-attention-better-than-matrix-decomposition-1 | 14.80 | 58.75 |
| diffusion-models-beat-gans-on-image-synthesis | 2.97 | - |
| rebooting-acgan-auxiliary-classifier-gans | 8.206 | 96.299 |
| simple-diffusion-end-to-end-diffusion-for | 2.88 | 137.3 |