Manifold Denoising on 3D sphere dataset sigma=0.12
0.016MSEMLS
Evaluation Results
| Method | Links | |
|---|---|---|
| MLS2026.05 | 0.016 | |
| SCQMModel Type=Quadratic, Loss Function=l22026.05 | 0.02 | |
| SCQMModel Type=Quadratic, Loss Function=l_p^p, p=2.002026.05 | 0.021 | |
| SCQMModel Type=Quadratic, Loss Function=l_p^p, p=1.752026.05 | 0.022 | |
| SCQMModel Type=Quadratic, Loss Function=l_p^p, p=1.252026.05 | 0.023 | |
| SCQMModel Type=Linear, Loss Function=l_p^p, p=2.002026.05 | 0.024 | |
| SCQMModel Type=Quadratic, Loss Function=l_p^p, p=1.502026.05 | 0.025 | |
| SCQMModel Type=Linear, Loss Function=l_p^p, p=1.752026.05 | 0.025 | |
| SCQMModel Type=Linear, Loss Function=l22026.05 | 0.026 | |
| SCQMModel Type=Linear, Loss Function=l_p^p, p=1.502026.05 | 0.027 | |
| MFIT2026.05 | 0.028 | |
| SCQMModel Type=Quadratic, Loss Function=l_p^p, p=1.002026.05 | 0.03 | |
| SCQMModel Type=Linear, Loss Function=l_p^p, p=1.002026.05 | 0.033 | |
| SCQMModel Type=Linear, Loss Function=l_p^p, p=1.252026.05 | 0.035 | |
| SPH2026.05 | 0.084 |