Hand Object Pose On Ho 3D
Metrics
ADD-S
Average MPJPE (mm)
OME
PA-MPJPE
ST-MPJPE
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | ADD-S | Average MPJPE (mm) | OME | PA-MPJPE | ST-MPJPE |
|---|---|---|---|---|---|
| interacting-hand-object-pose-estimation-via | 20.8 | 22.2 | 45.5 | 10.1 | 23.8 |
| hoisdf-constraining-3d-hand-object-pose | 14.4 | 19.0 | 35.5 | 9.2 | 18.3 |
| learning-joint-reconstruction-of-hands-and | - | - | - | 11.0 | 31.8 |
| harmonious-feature-learning-for-interactive | 32.4 | 28.9 | 64.3 | 8.9 | 28.4 |
| semi-supervised-3d-hand-object-poses | - | - | - | 10.1 | 31.7 |
| towards-unconstrained-joint-hand-object | 40.0 | - | 80.0 | 12.0 | 26.8 |
| handsformer-keypoint-transformer-for | 21.4 | 25.5 | 68.0 | 10.8 | 25.7 |
| artiboost-boosting-articulated-3d-hand-object | - | 26.3 | - | 11.4 | 25.3 |
| leveraging-photometric-consistency-over-time | 22.0 | - | 67.0 | 11.4 | 36.9 |