Dynamic Surface Reconstruction on AMA (test)
0.44CD (10^-5)Neu-PiG
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Neu-PiGOptimization strategy (Training-free vs Learning-based)=Training-free, Optimization length (epochs)=10002026.02 | 0.44 | 0.951 | 98.8 | 0.018 | 32 | |
| Neu-PiGOptimization strategy (Training-free vs Learning-based)=Training-free, Optimization length (epochs)=2502026.02 | 0.53 | 0.946 | 97.8 | 0.024 | 8 | |
| PDGOptimization strategy (Training-free vs Learning-based)=Training-free2026.02 | 0.79 | 0.926 | 96.1 | 0.037 | 7 | |
| DynoSurfOptimization strategy (Training-free vs Learning-based)=Training-free2026.02 | 1.01 | 0.918 | 92.1 | 0.044 | 30 |