3D Multi Person Pose Estimation On Cmu
Metrics
Average MPJPE (mm)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Average MPJPE (mm) |
|---|---|
| hmor-hierarchical-multi-person-ordinal | 51.6 |
| distribution-aware-single-stage-models-for | 53.8 |
| multi-person-3d-pose-estimation-in-crowded | 50 |
| light3dpose-real-time-multi-person-3d | 38.59 |
| instance-aware-contrastive-learning-for | 126.1 |
| direct-multi-view-multi-person-3d-pose | 15.8 |
| ivt-an-end-to-end-instance-guided-video | 48.4 |
| body-meshes-as-points | 135.4 |
| tessetrack-end-to-end-learnable-multi-person | 7.3 |
| end-to-end-estimation-of-multi-person-3d | 17.68 |
| smap-single-shot-multi-person-absolute-3d | 61.8 |
| voxeltrack-multi-person-3d-human-pose | 18.49 |
| graph-based-3d-multi-person-pose-estimation | 15.68 |
| quickpose-real-time-multi-view-multi-person | 20.0 |
| multi-view-multi-person-3d-pose-estimation | 16.75 |
| permutation-invariant-relational-network-for | 49.8 |
| geometry-biased-transformer-for-robust-multi | 17.2 |
| dynamic-graph-reasoning-for-multi-person-3d | 57.9 |
| faster-voxelpose-real-time-3d-human-pose | 18.41 |
| virtualpose-learning-generalizable-3d-human | 58.9 |