3D Shape Correspondence on FAUST remeshed (test)
1.5Mean Geodesic Error (x100)ConsistFMaps(U)
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ConsistFMaps(U)Input format=mesh, Training set=FAUST_r2023.11 | 1.5 | — | — | — | — | |
| URSSMCategory=Functional Map Methods2026.02 | 1.6 | — | — | — | — | |
| DenseMatcherCategory=Semantic Methods2026.02 | 1.6 | — | — | — | — | |
| UniMatchCategory=Semantic Methods2026.02 | 1.6 | — | — | — | — | |
| Deep Shells(W)Input format=mesh, Training set=FAUST_r2023.11 | 1.7 | — | — | — | — | |
| AttentiveFMaps(U)Input format=mesh, Training set=FAUST_r2023.11 | 1.9 | — | — | — | — | |
| AttentiveFMaps(U)Input format=mesh, Training set=SCAPE_r2023.11 | 2.2 | — | — | — | — | |
| SSMSM(W)Input format=pcd, Training set=FAUST_r2023.11 | 2.4 | — | — | — | — | |
| 3D-CODED(S)Supervision=Supervised, Mesh Usage=Without Mesh, Training Dataset=FAUST_r2023.03 | 2.5 | — | — | — | — | |
| Smooth ShellsInput format=mesh, Training set=FAUST_r2023.11 | 2.5 | — | — | — | — | |
| 3D-CODED(S)Input format=pcd, Training set=FAUST_r2023.11 | 2.5 | — | — | — | — | |
| Smooth ShellsCategory=Axiomatic Methods2026.02 | 2.5 | — | — | — | — | |
| SURFMNetCategory=Functional Map Methods2026.02 | 2.5 | — | — | — | — | |
| Deep Shells(W)Input format=mesh, Training set=SCAPE_r2023.11 | 2.7 | — | — | — | — | |
| TransMatch(S)Input format=pcd, Training set=FAUST_r2023.11 | 2.7 | — | — | — | — | |
| Ours-FAUSTInput format=pcd, Training set=FAUST_r2023.11 | 3 | — | — | — | — | |
| GeomFMaps(S)Input format=mesh, Training set=FAUST_r2023.11 | 3.1 | — | — | — | — | |
| WSupFMNet(W)Supervision=Weakly-supervised, Mesh Usage=With Mesh, Training Dataset=FAUST_r2023.03 | 3.3 | — | — | — | — | |
| WSupFMNet(W)Input format=mesh, Training set=FAUST_r2023.11 | 3.3 | — | — | — | — | |
| Ours-SCAPEInput format=pcd, Training set=FAUST_r2023.11 | 3.4 | — | — | — | — | |
| LIE(S)Supervision=Supervised, Mesh Usage=Without Mesh, Training Dataset=FAUST_r2023.03 | 3.6 | — | — | — | — | |
| DiffFMaps(S)Input format=pcd, Training set=FAUST_r2023.11 | 3.6 | — | — | — | — | |
| Ours-SCAPEInput format=pcd, Training set=SCAPE_r2023.11 | 4 | — | — | — | — | |
| Ours-FAUSTInput format=pcd, Training set=SCAPE_r2023.11 | 4 | — | — | — | — | |
| UnsupFMNetCategory=Functional Map Methods2026.02 | 4.8 | — | — | — | — | |
| Ours(W)Supervision=Weakly-supervised, Mesh Usage=Without Mesh, Training Dataset=FAUST_r2023.03 | 5.5 | — | — | — | — | |
| NIE(W)Input format=pcd, Training set=FAUST_r2023.11 | 5.5 | — | — | — | — | |
| GeomFMaps(S)Input format=mesh, Training set=SCAPE_r2023.11 | 6 | — | — | — | — | |
| ZoomOutCategory=Axiomatic Methods2026.02 | 6.1 | — | — | — | — | |
| WSupFMNet(W)Supervision=Weakly-supervised, Mesh Usage=With Mesh, Training Dataset=SCAPE_r2023.03 | 6.2 | — | — | — | — | |
| WSupFMNet(W)Input format=mesh, Training set=SCAPE_r2023.11 | 6.2 | — | — | — | — | |
| BCICPCategory=Axiomatic Methods2026.02 | 6.4 | — | — | — | — | |
| SyNoRiM(S)Input format=pcd, Training set=FAUST_r2023.11 | 7.9 | — | — | — | — | |
| NeuroMorph(U)Supervision=Unsupervised, Mesh Usage=With Mesh, Training Dataset=FAUST_r2023.03 | 8.5 | — | — | — | — | |
| NeuroMorph(U)Input format=mesh, Training set=FAUST_r2023.11 | 8.5 | — | — | — | — | |
| SSMSM(W)Input format=pcd, Training set=SCAPE_r2023.11 | 8.5 | — | — | — | — | |
| ConsistFMaps(U)Input format=mesh, Training set=SCAPE_r2023.11 | 8.6 | — | — | — | — | |
| Ours(W)Supervision=Weakly-supervised, Mesh Usage=Without Mesh, Training Dataset=SCAPE_r2023.03 | 8.7 | — | — | — | — | |
| NIE(W)Input format=pcd, Training set=SCAPE_r2023.11 | 8.7 | — | — | — | — | |
| UnsupFMNet(U)Supervision=Unsupervised, Mesh Usage=With Mesh, Training Dataset=FAUST_r2023.03 | 10 | — | — | — | — | |
| FMNet(S)Supervision=Supervised, Mesh Usage=With Mesh, Training Dataset=FAUST_r2023.03 | 11 | — | — | — | — | |
| DPC(S)Input format=pcd, Training set=FAUST_r2023.11 | 11.1 | — | — | — | — | |
| DPC(S)Input format=pcd, Training set=SCAPE_r2023.11 | 11.2 | — | — | — | — | |
| LIE(S)Supervision=Supervised, Mesh Usage=Without Mesh, Training Dataset=SCAPE_r2023.03 | 12 | — | — | — | — | |
| DiffFMaps(S)Input format=pcd, Training set=SCAPE_r2023.11 | 12 | — | — | — | — | |
| AMMInput format=pcd, Training set=FAUST_r2023.11 | 14.2 | — | — | — | — | |
| BCICPSupervision=N/A, Mesh Usage=With Mesh, Training Dataset=FAUST_r2023.03 | 15 | — | — | — | — | |
| SURFMNet(U)Supervision=Unsupervised, Mesh Usage=With Mesh, Training Dataset=FAUST_r2023.03 | 15 | — | — | — | — | |
| SURFMNet(U)Input format=mesh, Training set=FAUST_r2023.11 | 15 | — | — | — | — | |
| NeuroMorph(U)Supervision=Unsupervised, Mesh Usage=With Mesh, Training Dataset=SCAPE_r2023.03 | 18 | — | — | — | — | |
| NeuroMorph(U)Input format=mesh, Training set=SCAPE_r2023.11 | 18 | — | — | — | — | |
| TransMatch(S)Input format=pcd, Training set=SCAPE_r2023.11 | 18.3 | — | — | — | — | |
| NDPInput format=pcd, Training set=FAUST_r2023.11 | 20.4 | — | — | — | — | |
| Diff3FCategory=Semantic Methods2026.02 | 20.7 | — | — | — | — | |
| UnsupFMNet(U)Supervision=Unsupervised, Mesh Usage=With Mesh, Training Dataset=SCAPE_r2023.03 | 22 | — | — | — | — | |
| SyNoRiM(S)Input format=pcd, Training set=SCAPE_r2023.11 | 24.6 | — | — | — | — | |
| SURFMNet(U)Supervision=Unsupervised, Mesh Usage=With Mesh, Training Dataset=SCAPE_r2023.03 | 32 | — | — | — | — | |
| SURFMNet(U)Input format=mesh, Training set=SCAPE_r2023.11 | 32 | — | — | — | — | |
| FMNet(S)Supervision=Supervised, Mesh Usage=With Mesh, Training Dataset=SCAPE_r2023.03 | 33 | — | — | — | — | |
| 3D-CODED(S)Supervision=Supervised, Mesh Usage=Without Mesh, Training Dataset=SCAPE_r2023.03 | 33 | — | — | — | — | |
| 3D-CODED(S)Input format=pcd, Training set=SCAPE_r2023.11 | 33 | — | — | — | — | |
| CorrNet-3D(U)Supervision=Unsupervised, Mesh Usage=Without Mesh, Training Dataset=FAUST_r2023.03 | 63 | — | — | — | — | |
| CorrNet-3D(U)Supervision=Unsupervised, Mesh Usage=Without Mesh, Training Dataset=SCAPE_r2023.03 | 63 | — | — | — | — | |
| CorrNet3D(U)Input format=pcd, Training set=FAUST_r2023.11 | 63 | — | — | — | — | |
| CorrNet3D(U)Input format=pcd, Training set=SCAPE_r2023.11 | 63 | — | — | — | — | |
| 3D-CODEDSupervision type=Supervised, Post-processing technique (p.p.)=None2021.06 | — | 2.5 | — | — | — | |
| ACSCNN2024.04 | — | — | — | 61.95 | 82.46 | |
| BCICPSupervision type=Axiomatic, Post-processing technique (p.p.)=None2021.06 | — | 6.4 | — | — | — | |
| CorrNet-3DTraining set=Surreal, Noise condition=Clean2023.03 | — | 0.54 | — | — | — | |
| CorrNet-3DTraining set=Surreal, Noise condition=Noisy2023.03 | — | 0.62 | — | — | — | |
| Deep shellsSupervision type=Unsupervised, Post-processing technique (p.p.)=None2021.06 | — | 1.7 | — | — | — | |
| FieldConv2024.04 | — | — | — | 53.39 | 75.01 | |
| FLBOtau=0.12024.04 | — | — | — | 62.61 | 82.9 | |
| FLBOtau=0.22024.04 | — | — | — | 62.58 | 82.9 | |
| FLBOtau=0.32024.04 | — | — | — | 62.67 | 82.94 | |
| FLBOtau=0.42024.04 | — | — | — | 62.27 | 82.66 | |
| FLBOtau=0.52024.04 | — | — | — | 62.38 | 82.68 | |
| FMNetSupervision type=Supervised, Post-processing technique (p.p.)=PMF2021.06 | — | 5.9 | 11 | — | — | |
| GeoFMNetSupervision type=Supervised, Post-processing technique (p.p.)=ZO2021.06 | — | 1.9 | 3.1 | — | — | |
| LIETraining set=Surreal, Noise condition=Clean2023.03 | — | 0.15 | — | — | — | |
| LIETraining set=Surreal, Noise condition=Noisy2023.03 | — | 0.15 | — | — | — | |
| NeuroMorphSupervision type=Unsupervised, Post-processing technique (p.p.)=SL2021.06 | — | 1.5 | 2.3 | — | — | |
| NIE/NIMTraining set=Surreal, Noise condition=Clean2023.03 | — | 0.065 | — | — | — | |
| NIE/NIMTraining set=Surreal, Noise condition=Noisy2023.03 | — | 0.072 | — | — | — | |
| Smooth ShellsSupervision type=Axiomatic, Post-processing technique (p.p.)=None2021.06 | — | 2.5 | — | — | — | |
| SurFMNetSupervision type=Unsupervised, Post-processing technique (p.p.)=ICP2021.06 | — | 7.4 | 15 | — | — | |
| Unsup. FMNetSupervision type=Unsupervised, Post-processing technique (p.p.)=PMF2021.06 | — | 5.7 | 10 | — | — | |
| Weakly sup. FMNetSupervision type=Unsupervised, Post-processing technique (p.p.)=ZO2021.06 | — | 1.9 | 3.3 | — | — | |
| ZoomOutSupervision type=Axiomatic, Post-processing technique (p.p.)=None2021.06 | — | 6.1 | — | — | — |