Projected GANs Converge Faster

Open paper
Benchmark Model Rank Results
conditional-image-generation-on-artbench-10Projected GAN#5FID: 11.837
image-generation-on-afhq-catProjected GAN#4FID: 2.16
image-generation-on-afhq-dogProjected GAN#1FID: 4.52
image-generation-on-afhq-wildProjected GAN#4FID: 2.17
image-generation-on-cityscapesProjected GAN#1FID-10k-training-steps: 3.41
image-generation-on-clevrProjected GAN#1FID-5k-training-steps: 0.89
image-generation-on-cub-128-x-128Projected GAN#1FID: 2.79
image-generation-on-ffhq-256-x-256Projected-GAN (Official)#17FID: 3.39Precision: 0.654Recall: 0.464
image-generation-on-lsun-bedroom-256-x-256Projected GAN#2FID: 1.52FID-10k-training-steps: 1.52
image-generation-on-lsun-bedroom-256-x-256Projected GAN (DINOv2)#20FD: 636.35Precision: 0.80Recall: 0.23
image-generation-on-lsun-cat-256-x-256Projected GAN#2FID: 3.89
image-generation-on-lsun-churches-256-x-256Projected GAN#1FID: 1.59
image-generation-on-lsun-horse-256-x-256Projected GAN#2FID: 2.17
image-generation-on-pokemon-1024x1024Projected GAN#2FID: 33.96
image-generation-on-pokemon-256x256Projected GAN#2FID: 26.36
image-generation-on-stanford-carsProjected GANs#1FID: 2.09
image-generation-on-stanford-dogsProjected GAN#1FID: 11.75

Rank counts only results with a code link.