Image Generation On Ffhq
Metrics
FID
Results
Performance results of various models on this benchmark
Model Name | FID | Paper Title | Repository |
|---|---|---|---|
| Anycost GAN | 2.77 | Anycost GANs for Interactive Image Synthesis and Editing | - |
| GAN | - | Generative Adversarial Transformers | - |
| StyleGAN2 | 2.84 | Analyzing and Improving the Image Quality of StyleGAN | - |
| SAGAN | - | Generative Adversarial Transformers | - |
| MSG-StyleGAN | - | MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks | - |
| StyleGAN | 4.42 | A Style-Based Generator Architecture for Generative Adversarial Networks | - |
| StyleGAN2 | - | Generative Adversarial Transformers | - |
| HiT-B | 6.37 | Improved Transformer for High-Resolution GANs | - |
| VQGAN | - | Generative Adversarial Transformers | - |
| StyleGAN (no instance norm) | 4.16 | Improved Precision and Recall Metric for Assessing Generative Models | - |
| GANsformer | - | Generative Adversarial Transformers | - |
| StyleSwin | 5.07 | StyleSwin: Transformer-based GAN for High-resolution Image Generation | - |
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