Training Generative Adversarial Networks with Limited Data

Benchmark Model Rank Results
conditional-image-generation-on-artbench-10-32x32StyleGAN2 + ADA#1FID: 2.625
image-generation-on-afhq-catStyleGAN2-ADA#2clean-KID: 0.71 ± .02clean-FID: 3.28 ± .02FID: 3.55
image-generation-on-afhq-wildStyleGAN2-ADA#2clean-KID: 0.44 ± .01clean-FID: 3.00 ± .01FID: 3.05
image-generation-on-pokemon-256x256StyleGAN2-ADA#3FID: 40.38
10-shot-image-generation-on-babiesTGAN + ADA#4FID: 97.91
conditional-image-generation-on-cifar-10StyleGAN2-ADA#4FID: 2.42Inception score: 10.14
image-generation-on-afhq-dogStyleGAN2-ADA#5FID: 7.41clean-FID: 7.61 ± .02clean-KID: 1.28 ± .02
image-generation-on-ffhq-1024-x-1024StyleGAN2 ADA+bCR#10FID: 3.62
image-generation-on-ffhq-256-x-256StyleGAN2 + ADA#21FID: 3.62
image-generation-on-ffhq-256-x-256StyleGAN2 + ADA (DINOv2)#47FD: 514.78Precision: 0.59Recall: 0.06