Image Generation on CIFAR-10 32x32 (50K samples)
48NFESDE solver with adaptive step sizes
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SDE solver with adaptive step sizesModel Variant=VP deep, epsilon_rel=0.52021.05 | 48 | 82.42 | |
| Euler-MaruyamaModel Variant=VP deep, NFE Strategy=Matched to Ours (epsilon_rel=0.50)2021.05 | 48 | 95.77 | |
| DDIMModel Variant=VP deep, NFE Strategy=Matched to Ours (epsilon_rel=0.50)2021.05 | 48 | 38.71 | |
| SDE solver with adaptive step sizesModel Variant=VP, epsilon_rel=0.52021.05 | 49 | 72.29 | |
| Euler-MaruyamaModel Variant=VP, NFE Strategy=Matched to Ours (epsilon_rel=0.50)2021.05 | 49 | 92.99 | |
| DDIMModel Variant=VP, NFE Strategy=Matched to Ours (epsilon_rel=0.50)2021.05 | 49 | 37.24 | |
| SDE solver with adaptive step sizesModel Variant=VE deep, epsilon_rel=0.52021.05 | 50 | 307.32 | |
| Euler-MaruyamaModel Variant=VE deep, NFE Strategy=Matched to Ours (epsilon_rel=0.50)2021.05 | 50 | 271.27 | |
| SDE solver with adaptive step sizesModel Variant=VE, epsilon_rel=0.52021.05 | 52 | 266.75 | |
| Euler-MaruyamaModel Variant=VE, NFE Strategy=Matched to Ours (epsilon_rel=0.50)2021.05 | 52 | 169.32 | |
| Probability Flow (ODE)Model Variant=VP2021.05 | 142 | 3.11 | |
| Probability Flow (ODE)Model Variant=VP deep2021.05 | 145 | 2.86 | |
| SDE solver with adaptive step sizesModel Variant=VP, epsilon_rel=0.12021.05 | 147 | 2.95 | |
| Euler-MaruyamaModel Variant=VP, NFE Strategy=Matched to Ours (epsilon_rel=0.10)2021.05 | 147 | 31.38 | |
| DDIMModel Variant=VP, NFE Strategy=Matched to Ours (epsilon_rel=0.10)2021.05 | 147 | 11.53 | |
| SDE solver with adaptive step sizesModel Variant=VP deep, epsilon_rel=0.12021.05 | 151 | 2.73 | |
| Euler-MaruyamaModel Variant=VP deep, NFE Strategy=Matched to Ours (epsilon_rel=0.10)2021.05 | 151 | 31.93 | |
| DDIMModel Variant=VP deep, NFE Strategy=Matched to Ours (epsilon_rel=0.10)2021.05 | 151 | 11.38 | |
| SDE solver with adaptive step sizesModel Variant=VE, epsilon_rel=0.12021.05 | 170 | 8.85 | |
| SDE solver with adaptive step sizesModel Variant=VE deep, epsilon_rel=0.12021.05 | 170 | 10.15 | |
| Euler-MaruyamaModel Variant=VE, NFE Strategy=Matched to Ours (epsilon_rel=0.10)2021.05 | 170 | 5.12 | |
| Euler-MaruyamaModel Variant=VE deep, NFE Strategy=Matched to Ours (epsilon_rel=0.10)2021.05 | 170 | 5.56 | |
| SDE solver with adaptive step sizesModel Variant=VP, epsilon_rel=0.052021.05 | 179 | 2.59 | |
| Euler-MaruyamaModel Variant=VP, NFE Strategy=Matched to Ours (epsilon_rel=0.05)2021.05 | 179 | 25.49 | |
| DDIMModel Variant=VP, NFE Strategy=Matched to Ours (epsilon_rel=0.05)2021.05 | 179 | 9.2 | |
| SDE solver with adaptive step sizesModel Variant=VP deep, epsilon_rel=0.052021.05 | 180 | 2.44 | |
| Euler-MaruyamaModel Variant=VP deep, NFE Strategy=Matched to Ours (epsilon_rel=0.05)2021.05 | 180 | 25.05 | |
| DDIMModel Variant=VP deep, NFE Strategy=Matched to Ours (epsilon_rel=0.05)2021.05 | 180 | 9.25 | |
| Probability Flow (ODE)Model Variant=VE deep2021.05 | 181 | 5.53 | |
| Probability Flow (ODE)Model Variant=VE2021.05 | 183 | 7.64 | |
| SDE solver with adaptive step sizesModel Variant=VE deep, epsilon_rel=0.052021.05 | 270 | 3.4 | |
| Euler-MaruyamaModel Variant=VE deep, NFE Strategy=Matched to Ours (epsilon_rel=0.05)2021.05 | 270 | 3.76 | |
| SDE solver with adaptive step sizesModel Variant=VE, epsilon_rel=0.052021.05 | 271 | 3.23 | |
| Euler-MaruyamaModel Variant=VE, NFE Strategy=Matched to Ours (epsilon_rel=0.05)2021.05 | 271 | 3.48 | |
| SDE solver with adaptive step sizesModel Variant=VP, epsilon_rel=0.022021.05 | 274 | 2.74 | |
| SDE solver with adaptive step sizesModel Variant=VP deep, epsilon_rel=0.022021.05 | 274 | 2.6 | |
| Euler-MaruyamaModel Variant=VP, NFE Strategy=Matched to Ours (epsilon_rel=0.02)2021.05 | 274 | 14.18 | |
| Euler-MaruyamaModel Variant=VP deep, NFE Strategy=Matched to Ours (epsilon_rel=0.02)2021.05 | 274 | 13.67 | |
| DDIMModel Variant=VP, NFE Strategy=Matched to Ours (epsilon_rel=0.02)2021.05 | 274 | 5.75 | |
| DDIMModel Variant=VP deep, NFE Strategy=Matched to Ours (epsilon_rel=0.02)2021.05 | 274 | 5.74 | |
| SDE solver with adaptive step sizesModel Variant=VP, epsilon_rel=0.012021.05 | 329 | 2.7 | |
| Euler-MaruyamaModel Variant=VP, NFE Strategy=Matched to Ours (epsilon_rel=0.01)2021.05 | 329 | 10.28 | |
| DDIMModel Variant=VP, NFE Strategy=Matched to Ours (epsilon_rel=0.01)2021.05 | 329 | 4.81 | |
| SDE solver with adaptive step sizesModel Variant=VP deep, epsilon_rel=0.012021.05 | 330 | 2.56 | |
| Euler-MaruyamaModel Variant=VP deep, NFE Strategy=Matched to Ours (epsilon_rel=0.01)2021.05 | 330 | 10 | |
| DDIMModel Variant=VP deep, NFE Strategy=Matched to Ours (epsilon_rel=0.01)2021.05 | 330 | 4.76 | |
| SDE solver with adaptive step sizesModel Variant=VE deep, epsilon_rel=0.022021.05 | 488 | 2.99 | |
| Euler-MaruyamaModel Variant=VE deep, NFE Strategy=Matched to Ours (epsilon_rel=0.02)2021.05 | 488 | 3.21 | |
| SDE solver with adaptive step sizesModel Variant=VE, epsilon_rel=0.022021.05 | 490 | 2.87 | |
| Euler-MaruyamaModel Variant=VE, NFE Strategy=Matched to Ours (epsilon_rel=0.02)2021.05 | 490 | 3.05 | |
| SDE solver with adaptive step sizesModel Variant=VE deep, epsilon_rel=0.012021.05 | 736 | 3.06 | |
| Euler-MaruyamaModel Variant=VE deep, NFE Strategy=Matched to Ours (epsilon_rel=0.01)2021.05 | 736 | 3.17 | |
| SDE solver with adaptive step sizesModel Variant=VE, epsilon_rel=0.012021.05 | 738 | 2.91 | |
| Euler-MaruyamaModel Variant=VE, NFE Strategy=Matched to Ours (epsilon_rel=0.01)2021.05 | 738 | 2.99 | |
| Euler-MaruyamaModel Variant=VP2021.05 | 1,000 | 2.55 | |
| Euler-MaruyamaModel Variant=VP deep2021.05 | 1,000 | 2.49 | |
| Euler-MaruyamaModel Variant=VE2021.05 | 1,000 | 2.98 | |
| Euler-MaruyamaModel Variant=VE deep2021.05 | 1,000 | 3.14 | |
| DDIMModel Variant=VP2021.05 | 1,000 | 2.86 | |
| DDIMModel Variant=VP deep2021.05 | 1,000 | 2.69 | |
| Reverse-Diffusion & LangevinModel Variant=VP2021.05 | 1,999 | 4.27 | |
| Reverse-Diffusion & LangevinModel Variant=VP deep2021.05 | 1,999 | 4.69 | |
| Reverse-Diffusion & LangevinModel Variant=VE2021.05 | 1,999 | 2.4 | |
| Reverse-Diffusion & LangevinModel Variant=VE deep2021.05 | 1,999 | 2.21 |