3D Human Shape Estimation on SSP-3D (test)
9.6PVE (T-SC)NLF-S
Evaluation results
| Method | Links | ||
|---|---|---|---|
| NLF-SModel Variant=S, Optimization/Fitting (+fit)=true, Multi-image/Temporal Aggregation (shared β)=true2024.07 | 9.6 | 85 | |
| NLF-SModel Variant=S, Optimization/Fitting (+fit)=true2024.07 | 10 | 85 | |
| NLF-LModel Variant=L, Optimization/Fitting (+fit)=true2024.07 | 11.1 | 83 | |
| ShapeBoost2024.07 | 11.4 | — | |
| HierarchicalProbabilistic3DHumanMax. input set size=5, Combination method=Prob. Comb.2021.10 | 12 | — | |
| HierarchicalProbabilistic3DHumanMax. input set size=5, Combination method=Mean2021.10 | 12.2 | — | |
| Probabilistic Shape CombinationMax. input group size=5, Aggregation=Probabilistic Combination2021.03 | 13.3 | — | |
| Sengupta et al.Max. input set size=5, Combination method=Prob. Comb.2021.10 | 13.3 | — | |
| Sengupta et al.Multi-image/Temporal Aggregation (shared β)=true2024.07 | 13.3 | — | |
| HuManiFlow2024.07 | 13.5 | — | |
| Probabilistic Shape CombinationMax. input group size=5, Aggregation=Mean2021.03 | 13.6 | — | |
| Sengupta et al.Model=SMPL2022.06 | 13.6 | — | |
| HierarchicalProbabilistic3DHumanMax. input set size=12021.10 | 13.6 | — | |
| Sengupta et al.Max. input set size=5, Combination method=Mean2021.10 | 13.6 | — | |
| Sengupta et al.Shape estimation protocol=single image2024.07 | 13.6 | — | |
| STRAPSMax. input group size=5, Aggregation=Mean2021.03 | 14.4 | — | |
| STRAPSMax. input set size=5, Combination method=Mean2021.10 | 14.4 | — | |
| LASOR2024.07 | 14.5 | 67 | |
| Probabilistic Shape CombinationMax. input group size=12021.03 | 15.2 | — | |
| Sengupta et al.Max. input set size=12021.10 | 15.2 | — | |
| Sengupta et al.Shape estimation protocol=single image2024.07 | 15.2 | — | |
| SoY2023.04 | 15.8 | 76 | |
| SoY2024.07 | 15.8 | 76 | |
| STRAPSMax. input group size=12021.03 | 15.9 | — | |
| STRAPSModel=SMPL2022.06 | 15.9 | 80 | |
| STRAPSMax. input set size=12021.10 | 15.9 | — | |
| STRAPS2024.07 | 15.9 | 80 | |
| SHAPYModel=SMPL-X2022.06 | 19.2 | — | |
| SHAPYsemantic linguistic labels=true, body measurement labels=true2023.04 | 19.2 | 71 | |
| SHAPY2024.07 | 19.2 | 71 | |
| GraphCMRMax. input group size=5, Aggregation=Mean2021.03 | 19.3 | — | |
| GraphCMRMax. input set size=5, Combination method=Mean2021.10 | 19.3 | — | |
| GraphCMRMax. input group size=12021.03 | 19.5 | — | |
| GraphCMRMax. input set size=12021.10 | 19.5 | — | |
| SPINMax. input group size=5, Aggregation=Mean2021.03 | 21.9 | — | |
| SPINMax. input set size=5, Combination method=Mean2021.10 | 21.9 | — | |
| DaNetMax. input group size=12021.03 | 22.1 | — | |
| DaNetMax. input group size=5, Aggregation=Mean2021.03 | 22.1 | — | |
| DaNetMax. input set size=12021.10 | 22.1 | — | |
| DaNetMax. input set size=5, Combination method=Mean2021.10 | 22.1 | — | |
| SPINMax. input group size=12021.03 | 22.2 | — | |
| SPINModel=SMPL2022.06 | 22.2 | 70 | |
| SPINMax. input set size=12021.10 | 22.2 | — | |
| SPIN2023.04 | 22.2 | 70 | |
| SPIN2024.07 | 22.2 | 70 | |
| HMRMax. input group size=12021.03 | 22.9 | — | |
| HMRMax. input group size=5, Aggregation=Mean2021.03 | 22.9 | — | |
| HMRModel=SMPL2022.06 | 22.9 | 69 | |
| HMRMax. input set size=12021.10 | 22.9 | — | |
| HMRMax. input set size=5, Combination method=Mean2021.10 | 22.9 | — | |
| HMR2023.04 | 22.9 | 69 | |
| HMR2024.07 | 22.9 | 69 | |
| VIBEMax. input group size=Video2021.03 | 24.1 | — | |
| KBody2024.07 | 25.6 | 80 | |
| Baseline2021.03 | — | 70.8 | |
| PyMAF2021.03 | — | 72.1 | |
| SPIN2021.03 | — | 70.2 |