3D Shape Correspondence on FAUST_r (test)
1.5Mean Geodesic Error (x100)ConsistFMaps(U)
Evaluation results
| Method | Links | |
|---|---|---|
| ConsistFMaps(U)Input representation=mesh, Training dataset=FAUST_r2025.05 | 1.5 | |
| Deep Shells(W)Input representation=mesh, Training dataset=FAUST_r2025.05 | 1.7 | |
| AttentiveFMaps(U)Input representation=mesh, Training dataset=FAUST_r2025.05 | 1.9 | |
| AttentiveFMaps(U)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 2.2 | |
| SSMSM(W)Input representation=pcd, Training dataset=FAUST_r2025.05 | 2.4 | |
| Smooth ShellsInput representation=mesh, Training dataset=FAUST_r2025.05 | 2.5 | |
| 3D-CODED(S)Input representation=pcd, Training dataset=FAUST_r2025.05 | 2.5 | |
| Deep Shells(W)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 2.7 | |
| TransMatch(S)Input representation=pcd, Training dataset=FAUST_r2025.05 | 2.7 | |
| Ours-FAUSTInput representation=pcd, Training dataset=FAUST_r2025.05 | 3 | |
| GeomFMaps(S)Input representation=mesh, Training dataset=FAUST_r2025.05 | 3.1 | |
| WSupFMNet(W)Input representation=mesh, Training dataset=FAUST_r2025.05 | 3.3 | |
| Ours-SCAPEInput representation=pcd, Training dataset=FAUST_r2025.05 | 3.4 | |
| DiffFMaps(S)Input representation=pcd, Training dataset=FAUST_r2025.05 | 3.6 | |
| Ours-SCAPEInput representation=pcd, Training dataset=SCAPE_r2025.05 | 4 | |
| Ours-FAUSTInput representation=pcd, Training dataset=SCAPE_r2025.05 | 4 | |
| NIE(W)Input representation=pcd, Training dataset=FAUST_r2025.05 | 5.5 | |
| GeomFMaps(S)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 6 | |
| WSupFMNet(W)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 6.2 | |
| SyNoRiM(S)Input representation=pcd, Training dataset=FAUST_r2025.05 | 7.9 | |
| NeuroMorph(U)Input representation=mesh, Training dataset=FAUST_r2025.05 | 8.5 | |
| SSMSM(W)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 8.5 | |
| ConsistFMaps(U)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 8.6 | |
| NIE(W)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 8.7 | |
| DPC(S)Input representation=pcd, Training dataset=FAUST_r2025.05 | 11.1 | |
| DPC(S)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 11.2 | |
| DiffFMaps(S)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 12 | |
| AMMInput representation=pcd, Training dataset=FAUST_r2025.05 | 14.2 | |
| SURFMNet(U)Input representation=mesh, Training dataset=FAUST_r2025.05 | 15 | |
| NeuroMorph(U)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 18 | |
| TransMatch(S)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 18.3 | |
| NDPInput representation=pcd, Training dataset=FAUST_r2025.05 | 20.4 | |
| SyNoRiM(S)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 24.6 | |
| SURFMNet(U)Input representation=mesh, Training dataset=SCAPE_r2025.05 | 32 | |
| 3D-CODED(S)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 33 | |
| CorrNet3D(U)Input representation=pcd, Training dataset=FAUST_r2025.05 | 63 | |
| CorrNet3D(U)Input representation=pcd, Training dataset=SCAPE_r2025.05 | 63 |