Image Generation on SVHN
12.5FIDTTUR
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| TTURarchitecture=DCGAN, learning rate (b, a)=1e-5, 1e-4, updates=165k2017.06 | 12.5 | — | — | — | — | — | |
| IPLDNumber of particles=102025.05 | 13.51 | — | — | — | — | — | |
| IPLDNumber of particles=52025.05 | 14.02 | — | — | — | — | — | |
| QC-NCSN++Sampler=RK45 ODE solver, NFE=1262022.09 | 15.15 | — | — | 3.24 | 59 | 65 | |
| U-NCSN++Sampler=RK45 ODE solver, NFE=2092022.09 | 16.08 | — | — | 3.17 | 56 | 63 | |
| IPLDNumber of particles=12025.05 | 17.55 | — | — | — | — | — | |
| DAMC2025.05 | 18.76 | — | — | — | — | — | |
| FCEmodel_base=Glow2019.12 | 20.19 | — | — | — | — | — | |
| DiffusionVAEImplementation=Re-implementation (*)2025.05 | 20.89 | — | — | — | — | — | |
| Original one time-scale update rulearchitecture=DCGAN, learning rate (b=a)=5e-5, updates=185k2017.06 | 21.4 | — | — | — | — | — | |
| DCGAN2019.12 | 21.4 | — | — | — | — | — | |
| C-NCSN++Sampler=RK45 ODE solver, NFE=4982022.09 | 24.78 | — | — | 2.76 | 55 | 48 | |
| VAE w/ N2CE-LEBMnz (latent dimension)=100, M (noise magnitude)=100, K (num. of stages)=32024.05 | 25.63 | — | — | — | — | — | |
| VAE w/ N2CE-LEBMnz (latent dimension)=100, M (noise magnitude)=100, K (num. of stages)=12024.05 | 26.84 | — | — | — | — | — | |
| LP-EBM2025.05 | 29.44 | — | — | — | — | — | |
| ABP-LEBM*nz (latent dimension)=1002024.05 | 29.44 | — | — | — | — | — | |
| VAE w/ NCE-LEBMnz (latent dimension)=1002024.05 | 30.71 | — | — | — | — | — | |
| VAE w/ MLE-LEBMnz (latent dimension)=1002024.05 | 32.74 | — | — | — | — | — | |
| VAEnz (latent dimension)=1002024.05 | 34.81 | — | — | — | — | — | |
| SRI (L=5)nz (latent dimension)=1002024.05 | 35.32 | — | — | — | — | — | |
| RAEnz (latent dimension)=1002024.05 | 40.02 | — | — | — | — | — | |
| Glow2019.12 | 41.7 | — | — | — | — | — | |
| 2s-VAEnz (latent dimension)=1002024.05 | 42.81 | — | — | — | — | — | |
| SRInz (latent dimension)=1002024.05 | 44.86 | — | — | — | — | — | |
| ABPnz (latent dimension)=1002024.05 | 49.71 | — | — | — | — | — | |
| VAE2019.12 | 57.25 | — | — | — | — | — | |
| Spider DCGANInput Distribution=MNIST2023.05 | 95.71 | 0.0817 | 20.62 | — | — | — | |
| Spider DCGANInput Distribution=CIFAR-102023.05 | 101.8 | 0.0998 | 32.4 | — | — | — | |
| Spider DCGANInput Distribution=LSUN Churches2023.05 | 106.8 | 0.102 | 26.52 | — | — | — | |
| DCGANInput Distribution=Non-Parametric (R^100)2023.05 | 107.2 | 0.1053 | 33.52 | — | — | — | |
| Spider DCGANInput Distribution=CelebA2023.05 | 108.9 | 0.1029 | 22.77 | — | — | — | |
| Spider DCGANInput Distribution=TinyImageNet2023.05 | 111.7 | 0.1082 | 31.77 | — | — | — | |
| DCGANInput Distribution=Gaussian (R^HxWxC)2023.05 | 113.7 | 0.1121 | 31.45 | — | — | — | |
| Spider DCGANInput Distribution=Ukiyo-E2023.05 | 114.8 | 0.1145 | 38.28 | — | — | — | |
| Spider DCGANInput Distribution=Fashion MNIST2023.05 | 115 | 0.1096 | 32.57 | — | — | — | |
| DCGANInput Distribution=Gamma (R^100)2023.05 | 130.8 | 0.1181 | 27.13 | — | — | — | |
| DCGANInput Distribution=Gaussian (R^100)2023.05 | 135.4 | 0.1245 | 30.02 | — | — | — |