HyperAI

Image Generation On Ffhq U

Metrics

EQ-R
EQ-T
FID

Results

Performance results of various models on this benchmark

Model Name
EQ-R
EQ-T
FID
Paper TitleRepository
StyleGAN2 + Simplified generator10.4119.475.21Alias-Free Generative Adversarial Networks
StyleGAN2 + Non-critical sampling10.8443.904.78Alias-Free Generative Adversarial Networks
StyleGAN2 + No noise inputs10.8415.814.54Alias-Free Generative Adversarial Networks
StyleGAN2 + Rotation equiv. (Alias-Free-R)40.4866.654.50Alias-Free Generative Adversarial Networks
StyleGAN2 + Transformed Fourier features10.6145.204.64Alias-Free Generative Adversarial Networks
StyleGAN2 + Flexible layers (Alias-Free-T)13.1263.014.62Alias-Free Generative Adversarial Networks
Alias-Free-R47.64 64.783.66Alias-Free Generative Adversarial Networks
StyleGAN2 + Fourier features10.8116.234.79Alias-Free Generative Adversarial Networks
StyleGAN2 + Boundaries & upsampling10.9724.626.02Alias-Free Generative Adversarial Networks
StyleGAN2--5.14Alias-Free Generative Adversarial Networks
StyleGAN2 + Filtered nonlinearities10.8130.606.35Alias-Free Generative Adversarial Networks
Alias-Free-T13.9561.693.67Alias-Free Generative Adversarial Networks
StyleGAN2 (70000 img, 1024^2, train from scratch)10.7915.893.79Alias-Free Generative Adversarial Networks
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