Super-resolution on CelebA
25.59FIDSCONES
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SCONESRegularization type=chi-squared regularization, Lambda (λ)=0.001, Number of samples=50002021.10 | 25.59 | — | — | — | |
| SCONESRegularization type=chi-squared regularization, Lambda (λ)=0.01, Number of samples=50002021.10 | 25.64 | — | — | — | |
| SCONESRegularization type=chi-squared regularization, Lambda (λ)=0.1, Number of samples=50002021.10 | 25.84 | — | — | — | |
| DDNMNFEs=1002024.06 | 26.17 | 31.39 | 0.88 | 14.45 | |
| RED-diffNFEs=1002024.06 | 30.49 | 32.44 | 0.9 | 16.58 | |
| DMPSNFEs=1002024.06 | 31.87 | 30.94 | 0.87 | 17.25 | |
| DiffPIRNFEs=1002024.06 | 32.68 | 31.3 | 0.88 | 15.47 | |
| W2 GenRegularization type=None, Number of samples=50002021.10 | 32.8 | — | — | — | |
| ProjDiffNFEs=1002024.06 | 33.74 | 32.57 | 0.9 | 16.08 | |
| DDRMNFEs=1002024.06 | 34.12 | 31.38 | 0.88 | 15.48 | |
| IGDMNFEs=1002024.06 | 34.27 | 30.47 | 0.87 | 16.01 | |
| SCONESRegularization type=KL regularization, Lambda (λ)=0.1, Number of samples=50002021.10 | 35.59 | — | — | — | |
| DPSNFEs=10002024.06 | 35.65 | 30.25 | 0.86 | 16.88 | |
| SCONESRegularization type=KL regularization, Lambda (λ)=0.01, Number of samples=50002021.10 | 35.77 | — | — | — | |
| SCONESRegularization type=KL regularization, Lambda (λ)=0.005, Number of samples=50002021.10 | 43.8 | — | — | — | |
| ResampleNFEs=1002024.06 | 44.18 | 31.62 | 0.88 | 20.11 | |
| W2 GANRegularization type=None, Number of samples=50002021.10 | 55.77 | — | — | — | |
| A y2024.06 | 110.11 | 27.23 | 0.8 | 47.03 | |
| Barycentric ProjectionRegularization type=chi-squared regularization, Lambda (λ)=0.1, Number of samples=50002021.10 | 190.1 | — | — | — | |
| Barycentric ProjectionRegularization type=KL regularization, Lambda (λ)=0.1, Number of samples=50002021.10 | 193.92 | — | — | — | |
| Barycentric ProjectionRegularization type=chi-squared regularization, Lambda (λ)=0.001, Number of samples=50002021.10 | 212.72 | — | — | — | |
| Barycentric ProjectionRegularization type=chi-squared regularization, Lambda (λ)=0.01, Number of samples=50002021.10 | 216.54 | — | — | — | |
| Barycentric ProjectionRegularization type=KL regularization, Lambda (λ)=0.005, Number of samples=50002021.10 | 228.78 | — | — | — | |
| Barycentric ProjectionRegularization type=KL regularization, Lambda (λ)=0.01, Number of samples=50002021.10 | 230.85 | — | — | — | |
| AdamSphereSource Model=CelebA2026.01 | — | 31.27 | 0.86 | 0.18 | |
| AdamSphereSource Model=Bedroom2026.01 | — | 30.34 | 0.84 | 0.22 | |
| AdamSphereSource Model=Church2026.01 | — | 30.1 | 0.84 | 0.22 | |
| D-Flow2025.12 | — | 30.75 | 0.866 | — | |
| Degraded2025.12 | — | 7.527 | 0.012 | — | |
| DPSSource Model=CelebA2026.01 | — | 26.82 | 0.74 | 0.22 | |
| Flow-Priors2025.12 | — | 28.35 | 0.717 | — | |
| IPnP-Flow2025.12 | — | 33.66 | 0.946 | — | |
| OT-ODE2025.12 | — | 31.05 | 0.902 | — | |
| PnP-Diff2025.12 | — | 31.2 | 0.893 | — | |
| PnP-Flow2025.12 | — | 31.49 | 0.907 | — | |
| PnP-GS2025.12 | — | 30.69 | 0.889 | — |