Image Generation on Tiny-ImageNet (val)
14.25FIDReACGAN + DiffAug
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| ReACGAN + DiffAugImplementation Source=StudioGAN library, Differentiable Augmentation (DiffAug)=true2021.11 | 14.25 | 20.6 | 0.988 | 0.972 | |
| ContraGAN + DiffAugImplementation Source=StudioGAN library, Differentiable Augmentation (DiffAug)=true2021.11 | 15.4 | 18.2 | 0.986 | 0.963 | |
| BigGAN + DiffAugImplementation Source=StudioGAN library, Differentiable Augmentation (DiffAug)=true2021.11 | 15.7 | 18.08 | 0.98 | 0.972 | |
| ContraGAN + CRImplementation Source=StudioGAN library, Consistency Regularization (CR)=true2021.11 | 19.21 | 15.81 | 0.983 | 0.941 | |
| ReACGAN + CRImplementation Source=StudioGAN library, Consistency Regularization (CR)=true2021.11 | 19.69 | 16.56 | 0.984 | 0.94 | |
| BigGAN + CRImplementation Source=StudioGAN library, Consistency Regularization (CR)=true2021.11 | 19.96 | 15.94 | 0.972 | 0.95 | |
| ReACGANImplementation Source=StudioGAN library2021.11 | 27.1 | 14.06 | 0.97 | 0.894 | |
| ContraGANImplementation Source=StudioGAN library2021.11 | 28.55 | 13.46 | 0.974 | 0.881 | |
| ContraGAN*Implementation Source=Original paper2021.11 | 29.49 | — | — | — | |
| BigGANImplementation Source=StudioGAN library2021.11 | 32.03 | 12.78 | 0.948 | 0.868 | |
| SAGANImplementation Source=StudioGAN library2021.11 | 49.9 | 8.74 | 0.872 | 0.712 | |
| SNGANImplementation Source=StudioGAN library2021.11 | 51.15 | 8.71 | 0.9 | 0.702 | |
| ACGANImplementation Source=StudioGAN library2021.11 | 96.04 | 6 | 0.656 | 0.368 | |
| Real Data2021.11 | — | 34.11 | — | — |