DiffAugment-CR-BigGAN

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical2 results

Image GenerationonCIFAR-10 (10% data)
FID· 2020-06-18
18.7
best: 14.5 (DiffAugment-StyleGAN2)
SOTA
Differentiable Augmentation for Data-Efficient GAN Training arXiv:2006.10738
Image GenerationonCIFAR-10 (20% data)
FID· 2020-06-18
12.84
best: 12.15 (DiffAugment-StyleGAN2)
SOTA
Differentiable Augmentation for Data-Efficient GAN Training arXiv:2006.10738