| Paper | Code | clean-KID | clean-FID | FID | MAE Signature | MAE log-signature | RMSE Signature | RMSE log-signature | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|---|---|---|
| Ensembling Off-the-shelf Models for GAN Training | ✓ Link | 0.46 ± .03 | 2.51 ± .02 | 2.44 | Vision-aided GAN | 2021-12-16 | ||||
| Training Generative Adversarial Networks with Limited Data | ✓ Link | 0.71 ± .02 | 3.28 ± .02 | 3.55 | StyleGAN2-ADA | 2020-06-11 | ||||
| Bellman Optimal Stepsize Straightening of Flow-Matching Models | ✓ Link | 22.2 | BOSS | 2023-12-27 | ||||||
| Projected GANs Converge Faster | ✓ Link | 2.16 | Projected GAN | 2021-11-01 | ||||||
| Diffusion-GAN: Training GANs with Diffusion | ✓ Link | 2.40 | Diffusion InsGen | 2022-06-05 | ||||||
| DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations | ✓ Link | 4.27 | DDMI | 2024-01-23 | ||||||
| CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction | ✓ Link | 4.45 | CLR-GAN | 2024-09-30 | ||||||
| Signature and Log-signature for the Study of Empirical Distributions Generated with GANs | ✓ Link | 45968 | 22297 | 61450 | 29201 | Stylegan2-ada (NVIDIA pre-trained) | 2022-03-07 |