3D Human Pose and Shape Recovery on EMDB 1
88.1MPJPETokenHMR
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| TokenHMRTraining Datasets=BL2024.04 | 88.1 | 49.8 | 104.2 | — | — | — | — | |
| TAR2023.11 | 89.4 | 58.9 | 102.7 | 69.3 | 21.5 | 21.4 | 12 | |
| HMR2.0Training Datasets=BL2024.04 | 90.7 | 51.3 | 106.6 | — | — | — | — | |
| TokenHMRTraining Datasets=SD + ITW + BL2024.04 | 91.7 | 55.6 | 109.4 | — | — | — | — | |
| HMR2.0 + TokenTraining Datasets=SD + ITW + BL2024.04 | 95.6 | 62.2 | 116.1 | — | — | — | — | |
| HMR2.0 + TALSTraining Datasets=SD + ITW + BL2024.04 | 96.7 | 58.5 | 115.7 | — | — | — | — | |
| BEDLAM-CLIFFTraining Datasets=BL2024.04 | 97.1 | 61.3 | 113.2 | — | — | — | — | |
| HMR2.0Training Datasets=SD2024.04 | 97.8 | 61.5 | 120.1 | — | — | — | — | |
| HMR2.0 + TALS + VPoserTraining Datasets=SD + ITW + BL2024.04 | 97.9 | 56.4 | 116.8 | — | — | — | — | |
| HMR2.0Training Datasets=SD + ITW + BL2024.04 | 99.3 | 62.8 | 120.7 | — | — | — | — | |
| TokenHMRTraining Datasets=SD + ITW2024.04 | 102.4 | 67.5 | 124.4 | — | — | — | — | |
| HybrIK2023.11 | 103 | 65.6 | 122.2 | 80.4 | 24.5 | 23.1 | 49.2 | |
| HybrIKTraining Datasets=SD2024.04 | 103 | 65.6 | 122.2 | — | — | — | — | |
| CLIFF2023.11 | 103.1 | 68.8 | 122.9 | 81.3 | 23.1 | 21.6 | 55.5 | |
| CLIFFTraining Datasets=SD2024.04 | 103.1 | 68.8 | 122.9 | — | — | — | — | |
| PARE2023.11 | 113.9 | 72.2 | 133.2 | 85.4 | 24.7 | 22.4 | 75.1 | |
| HMR2.0Training Datasets=SD + ITW2024.04 | 118.5 | 79.3 | 140.6 | — | — | — | — | |
| PyMAF2023.11 | 131.1 | 82.9 | 160 | 98.1 | 28.5 | 25.7 | 81.8 |