3D Human Pose Estimation On Total Capture
Metrics
Average MPJPE (mm)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Average MPJPE (mm) |
|---|---|
| 3d-human-pose-estimation-in-rgbd-images-for | 112 |
| adafuse-adaptive-multiview-fusion-for | 19.2 |
| adaptively-multi-view-and-temporal-fusing | 29.2 |
| convolutional-pose-machines | 99 |
| cross-view-fusion-for-3d-human-pose | 29.0 |
| cross-view-fusion-for-3d-human-pose | 41.0 |
| deep-autoencoder-for-combined-human-pose | 35 |
| deepfuse-an-imu-aware-network-for-real-time | 28.9 |
| deepfuse-an-imu-aware-network-for-real-time | 32.7 |
| fusepose-imu-vision-sensor-fusion-in | 22.5 |
| fusing-wearable-imus-with-multi-view-images | 24.6 |
| lightweight-multi-view-3d-pose-estimation | 27.5 |
| total-capture-3d-human-pose-estimation-fusing | 70 |
| total-capture-3d-human-pose-estimation-fusing | 107 |