Dynamic Surface Reconstruction on DFAUST (test)
0.39Chamfer Distance (CD)Neu-PiG
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Neu-PiGOptimization strategy (Training-free vs Learning-based)=Training-free, Optimization length (epochs)=10002026.02 | 0.39 | 96.8 | 98.9 | 0.009 | 32 | |
| Neu-PiGOptimization strategy (Training-free vs Learning-based)=Training-free, Optimization length (epochs)=2502026.02 | 0.4 | 96.7 | 98.9 | 0.008 | 8 | |
| PDGOptimization strategy (Training-free vs Learning-based)=Training-free2026.02 | 0.46 | 95.6 | 98.7 | 0.017 | 7 | |
| M2VOptimization strategy (Training-free vs Learning-based)=Learning-based2026.02 | 1.61 | 96 | 87.7 | — | 4 | |
| DynoSurfOptimization strategy (Training-free vs Learning-based)=Training-free2026.02 | 2.13 | 95.3 | 98 | 0.01 | 30 | |
| CaDeXOptimization strategy (Training-free vs Learning-based)=Learning-based2026.02 | 3.68 | 94.1 | 73 | 0.013 | 3 |