Generative Modeling on CelebA 64x64 (test)
14.4FIDWGAN-QC
Evaluation results
| Method | Links | ||
|---|---|---|---|
| WGAN-QCOutput Function=G_xi(z)2022.01 | 14.4 | — | |
| Wasserstein Iterative NetworksOutput Function=T_{P_xi -> P_1}(G_xi(z))2022.01 | 15.7 | — | |
| Wasserstein Iterative NetworksOutput Function=T_{P_xi -> P_1}(G_xi(z)), Generator Training=Fixed (Randomly initialized)2022.01 | 16.1 | — | |
| Wasserstein Iterative NetworksOutput Function=G_xi(z)2022.01 | 46.6 | — | |
| SCW2BOutput Function=T_{P_xi -> P_1}(G_xi(z))2022.01 | 89.8 | — | |
| SCW2BOutput Function=G_xi(z)2022.01 | 90.2 | — | |
| NVAEType=VAE, #Params=153m2023.01 | — | 2.03 | |
| VDVAE*Type=VAE, #Params=125m2023.01 | — | 2.02 | |
| WS-VDVAEType=VAE, #Params=75m2023.01 | — | 2.02 |