Camera Pose Estimation on Neural RGB-D
0.0251ATEπ³
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| π³Base Model indicator=true2026.05 | 0.0251 | 0.1031 | 0.0098 | |
| GoToHuntBase Model=VGGT, Sigma (σ)=22026.05 | 0.0267 | 0.1794 | 0.0162 | |
| GoToHuntBase Model=VGGT, Sigma (σ)=32026.05 | 0.027 | 0.2409 | 0.0176 | |
| GoToHuntBase Model=π³, Sigma (σ)=22026.05 | 0.0292 | 0.119 | 0.0123 | |
| GoToHuntBase Model=π³, Sigma (σ)=32026.05 | 0.0292 | 0.1192 | 0.0123 | |
| Sparse-π³Base Model=π³, Sparsity Ratio (SR)=50%2026.05 | 0.0313 | 0.1182 | 0.0115 | |
| VGGTBase Model indicator=true2026.05 | 0.0374 | 0.2934 | 0.0186 | |
| FastVGGTBase Model=VGGT2026.05 | 0.0377 | 0.1985 | 0.0168 | |
| Speed3RBase Model=π³2026.05 | 0.0391 | 0.1735 | 0.0145 | |
| SparseVGGTBase Model=VGGT, Sparsity Ratio (SR)=50%2026.05 | 0.0402 | 0.2946 | 0.0202 | |
| SparseVGGTBase Model=VGGT, Sparsity Ratio (SR)=75%2026.05 | 0.0462 | 0.2717 | 0.0192 | |
| Sparse-π³Base Model=π³, Sparsity Ratio (SR)=75%2026.05 | 0.0478 | 0.125 | 0.0124 | |
| LiteVGGTBase Model=VGGT2026.05 | 0.0531 | 0.3311 | 0.0247 | |
| Co-MeBase Model=VGGT2026.05 | 0.0626 | 0.4567 | 0.0336 |