3D Shape Correspondence on SCAPE_r (test)
2Mean Geodesic Error (x100)ConsistFMaps(U)
Evaluation Results
| Method | Links | |
|---|---|---|
| ConsistFMaps(U)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 2 | |
| AttentiveFMaps(U)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 2.2 | |
| Deep Shells(W)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 2.5 | |
| AttentiveFMaps(U)Input representation=mesh, Training dataset=FAUST_r2025.05 | 2.6 | |
| Ours-SCAPEInput representation=pcd, Training dataset=SCAPE_r2025.05 | 2.6 | |
| Ours-FAUSTInput representation=pcd, Training dataset=SCAPE_r2025.05 | 2.9 | |
| SSMSM(W)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 4.1 | |
| GeomFMaps(S)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 4.4 | |
| Smooth ShellsInput representation=mesh, Training dataset=SCAPE_r2025.05 | 4.7 | |
| Ours-SCAPEInput representation=pcd, Training dataset=FAUST_r2025.05 | 5.1 | |
| Deep Shells(W)Input representation=mesh, Training dataset=FAUST_r2025.05 | 5.4 | |
| Ours-FAUSTInput representation=pcd, Training dataset=FAUST_r2025.05 | 6.3 | |
| WSupFMNet(W)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 7.3 | |
| ConsistFMaps(U)Input representation=mesh, Training dataset=FAUST_r2025.05 | 7.3 | |
| SyNoRiM(S)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 9.5 | |
| GeomFMaps(S)Input representation=mesh, Training dataset=FAUST_r2025.05 | 11 | |
| NIE(W)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 11 | |
| SSMSM(W)Input representation=pcd, Training dataset=FAUST_r2025.05 | 11 | |
| SURFMNet(U)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 12 | |
| WSupFMNet(W)Input representation=mesh, Training dataset=FAUST_r2025.05 | 12 | |
| DiffFMaps(S)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 12 | |
| AMMInput representation=pcd, Training dataset=SCAPE_r2025.05 | 13.1 | |
| NIE(W)Input representation=pcd, Training dataset=FAUST_r2025.05 | 15 | |
| NDPInput representation=pcd, Training dataset=SCAPE_r2025.05 | 16.2 | |
| DPC(S)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 17.3 | |
| DPC(S)Input representation=pcd, Training dataset=FAUST_r2025.05 | 17.5 | |
| TransMatch(S)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 18.6 | |
| DiffFMaps(S)Input representation=pcd, Training dataset=FAUST_r2025.05 | 19 | |
| SyNoRiM(S)Input representation=pcd, Training dataset=FAUST_r2025.05 | 21.9 | |
| NeuroMorph(U)Input representation=mesh, Training dataset=FAUST_r2025.05 | 29 | |
| NeuroMorph(U)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 30 | |
| 3D-CODED(S)Input representation=pcd, Training dataset=FAUST_r2025.05 | 31 | |
| 3D-CODED(S)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 31 | |
| SURFMNet(U)Input representation=mesh, Training dataset=FAUST_r2025.05 | 32 | |
| TransMatch(S)Input representation=pcd, Training dataset=FAUST_r2025.05 | 33.6 | |
| CorrNet3D(U)Input representation=pcd, Training dataset=FAUST_r2025.05 | 58 | |
| CorrNet3D(U)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 58 |