3D Human Pose Estimation on Campus (test)
99.6Actor 1 ScoreMulti-person Physics-based Pose Estimation Framework
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Multi-person Physics-based Pose Estimation Frameworkstage=Triangulation2025.04 | 99.6 | 92.2 | 97.6 | 96.5 | — | |
| Wang et al.2025.04 | 99.3 | 95.1 | 97.8 | 97.4 | — | |
| Multi-person Physics-based Pose Estimation Frameworkstage=Kinematics2025.04 | 98.5 | 93.5 | 94.4 | 95.5 | — | |
| Lin and Lee2025.04 | 98.4 | 93.7 | 99 | 97 | — | |
| PlaneSweepPose2022.07 | 98.4 | 93.7 | 99 | 97 | — | |
| Proposed Method (Part-aware Measurement & Joints Filter)2021.06 | 98.37 | 93.76 | 98.26 | 96.79 | — | |
| Part-aware Posetemporal_information=true2022.05 | 98.37 | 93.76 | 98.26 | 96.79 | — | |
| Part-aware Posetemporal_information=true2022.05 | 98.37 | 93.76 | 98.26 | 96.79 | — | |
| Yang et al.2025.04 | 98.2 | 94.6 | 98.2 | 97 | — | |
| MvP2021.11 | 98.2 | 94.1 | 97.4 | 96.6 | — | |
| MvP2022.07 | 98.2 | 94.1 | 97.4 | 96.6 | — | |
| Multi-person Physics-based Pose Estimation Frameworkstage=Dynamics2025.04 | 98.1 | 93.6 | 94.2 | 95.3 | — | |
| VoxelTracktemporal_information=true2022.05 | 98.1 | 93.7 | 98.3 | 96.7 | — | |
| VoxelTracktemporal_information=true2022.05 | 98.1 | 93.7 | 98.3 | 96.7 | — | |
| Huang et al.2025.04 | 98 | 94.8 | 97.4 | 96.7 | — | |
| Tanke et al.2021.06 | 98 | 91 | 92.2 | 95.7 | — | |
| Huang et al. [16]2022.07 | 98 | 94.8 | 97.4 | 96.7 | — | |
| VTPground_truth_body_centers=true2022.05 | 97.8 | 93.8 | 97.3 | 96.3 | 71.3 | |
| VTPground_truth_body_centers=true2022.05 | 97.8 | 93.8 | 97.3 | 96.3 | 71.3 | |
| Dong et al.2025.04 | 97.6 | 93.3 | 98 | 96.3 | — | |
| Tu et al.2025.04 | 97.6 | 93.8 | 98.8 | 96.7 | — | |
| Dong et al.Venue=CVPR 19, Fine-tuning protocol=w/o fine-tuning, Training Dataset=CMU Panoptic (CMU0)2025.08 | 97.6 | 93.3 | 98 | 96.3 | — | |
| mvpose3DPS model=full2019.01 | 97.6 | 93.3 | 98 | 96.3 | — | |
| Dong et al. [4]2020.04 | 97.6 | 93.3 | 98 | 96.3 | — | |
| VoxelPose2020.04 | 97.6 | 93.8 | 98.8 | 96.7 | — | |
| Dong et al.2021.06 | 97.6 | 93.3 | 98 | 96.3 | — | |
| Tu et al.2021.06 | 97.6 | 93.8 | 98.8 | 96.7 | — | |
| Dong et al.2021.11 | 97.6 | 93.3 | 98 | 96.3 | — | |
| VoxelPose2021.11 | 97.6 | 93.8 | 98.8 | 96.7 | — | |
| Dong et al. [9]2022.07 | 97.6 | 93.3 | 98 | 96.3 | — | |
| VoxelPose2022.07 | 97.6 | 93.8 | 98.8 | 96.7 | — | |
| Dong et al.2022.05 | 97.6 | 93.3 | 98 | 96.3 | — | |
| VoxelPose2022.05 | 97.6 | 93.8 | 98.8 | 96.7 | 78.2 | |
| VTP2022.05 | 97.6 | 93.1 | 98.1 | 96.3 | 80.1 | |
| VoxelPoseground_truth_body_centers=true2022.05 | 97.6 | 93.3 | 98.7 | 96.5 | 73.9 | |
| Dong et al.2022.05 | 97.6 | 93.3 | 98 | 96.3 | — | |
| VoxelPoseground_truth_body_centers=false2022.05 | 97.6 | 93.8 | 98.8 | 96.7 | 78.2 | |
| VTPground_truth_body_centers=false2022.05 | 97.6 | 93.1 | 98.1 | 96.3 | 80.1 | |
| VoxelPoseground_truth_body_centers=true2022.05 | 97.6 | 93.3 | 98.7 | 96.5 | 73.9 | |
| Chen et al.2021.06 | 97.1 | 94.1 | 98.6 | 96.6 | — | |
| Faster VoxelPose2022.07 | 96.5 | 94.1 | 97.9 | 96.2 | — | |
| Ershadi-Nasab et al.2025.04 | 94.2 | 92.9 | 84.6 | 90.6 | — | |
| Ershadi-Nasab et al.Reference=[12]2019.01 | 94.2 | 92.9 | 84.6 | 90.6 | — | |
| Ershadi-Nasab et al. [40]2020.04 | 94.2 | 92.9 | 84.6 | 90.6 | — | |
| Ershadi-N et al.2021.06 | 94.2 | 92.9 | 84.6 | 90.6 | — | |
| Ershadi et al.2021.11 | 94.2 | 92.9 | 84.6 | 90.6 | — | |
| Ershadi-Nasab et al. [11]2022.07 | 94.2 | 92.9 | 84.6 | 90.6 | — | |
| Belagiannis et al.2025.04 | 93.5 | 75.7 | 84.4 | 84.5 | — | |
| Belagiannis et al.Reference=[2]2019.01 | 93.5 | 75.7 | 84.4 | 84.5 | — | |
| Belagiannis et al. [1]2020.04 | 93.5 | 75.7 | 84.4 | 84.5 | — | |
| Belagiannis et al.2021.06 | 93.5 | 75.7 | 85.4 | 84.5 | — | |
| Belagiannis et al.2021.11 | 93.5 | 75.7 | 84.4 | 84.5 | — | |
| Belagiannis et al. [3]2022.07 | 93.5 | 75.7 | 84.4 | 84.5 | — | |
| Bridgeman et al.2021.06 | 91.8 | 92.7 | 93.2 | 92.6 | — | |
| mvpose3DPS model=triangulation2019.01 | 90.6 | 89.2 | 97.7 | 92.5 | — | |
| Belagiannis et al.Reference=[3]2019.01 | 83 | 73 | 78 | 78 | — | |
| Belagiannis et al. [3]2020.04 | 83 | 73 | 78 | 78 | — | |
| Belagiannis et al. [4]2022.07 | 83 | 73 | 78 | 78 | — | |
| Belagiannis et al.2025.04 | 82 | 72.4 | 73.7 | 75.8 | — | |
| Belagiannis et al.Reference=[1]2019.01 | 82 | 72.4 | 73.7 | 75.8 | — | |
| Belagiannis et al. [2]2020.04 | 82 | 72.4 | 73.7 | 75.8 | — | |
| Belagiannis et al. [2]2022.07 | 82 | 72.4 | 73.7 | 75.8 | — | |
| MV-SSMVenue=Ours, Fine-tuning protocol=w/o fine-tuning, Training Dataset=CMU Panoptic (CMU0)2025.08 | 55.5 | 65.5 | 79.9 | 67.3 | — | |
| MVGFormerVenue=CVPR 24, Fine-tuning protocol=w/o fine-tuning, Training Dataset=CMU Panoptic (CMU0)2025.08 | 40.2 | 61 | 73.1 | 58.1 | — | |
| VoxelPoseVenue=ECCV 20, Fine-tuning protocol=w/o fine-tuning, Training Dataset=CMU Panoptic (CMU0)2025.08 | 16.1 | 12.4 | 5.1 | 11.2 | — | |
| MvPVenue=NeurIPS 21, Fine-tuning protocol=w/o fine-tuning, Training Dataset=CMU Panoptic (CMU0)2025.08 | 0 | 0 | 0 | 0 | — |