3D Multi-Person Pose Estimation on MuPoTS-3D Matched people
87.3PCKrelPermutation-Invariant Relational Network
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Permutation-Invariant Relational NetworkDatasets training=MuPots Cross Validation2022.04 | 87.3 | — | — | 0.469 | — | — | — | — | |
| OursApproach Type=Bottom-up, Synthetic Training=true2022.07 | 86.5 | 39.3 | — | — | — | 74.9 | — | — | |
| PI-Net (fine-tuned)Datasets training=MuPots Cross Validation2022.04 | 84.3 | — | — | 0.447 | — | — | — | — | |
| OursApproach Type=Bottom-up2022.07 | 84.3 | 38.9 | — | — | — | 74.1 | — | — | |
| PI-NetDatasets training=MuCo2022.04 | 83.9 | — | — | — | — | — | — | — | |
| HDNetDatasets training=MuCo2022.04 | 83.7 | 35.2 | — | — | — | — | — | — | |
| HDNetApproach Type=Top-down2022.07 | 83.7 | 35.2 | — | — | — | — | — | — | |
| MoonApproach=top-down2020.08 | 82.5 | 31.8 | 31 | 40.9 | 92.6 | — | — | — | |
| RootNetDatasets training=MuCo + COCO2022.04 | 82.5 | 32 | — | 0.402 | — | — | — | — | |
| Moon et al.Approach Type=Top-down2022.07 | 82.5 | 31.8 | — | — | — | 66.8 | — | — | |
| HMORApproach Type=Top-down2022.07 | 82 | 43.8 | — | — | — | — | — | — | |
| SMAPApproach=bottom-up2020.08 | 80.5 | 38.7 | 45.5 | 42.7 | 97 | — | — | — | |
| SMAPDatasets training=MuCo + COCO2022.04 | 80.5 | 38.7 | — | 0.427 | — | — | — | — | |
| SMAPApproach Type=Bottom-up2022.07 | 80.5 | 38.7 | — | — | — | 72.9 | — | — | |
| MehtaApproach=bottom-up2020.08 | 75.8 | — | — | — | — | — | — | — | |
| XNectApproach Type=Bottom-up2022.07 | 75.8 | — | — | — | — | 57.8 | — | — | |
| DabralApproach=top-down2020.08 | 74.2 | — | — | — | — | — | — | — | |
| RogezApproach=top-down2020.08 | 74 | — | — | — | — | — | — | — | |
| Lcr-net++Approach Type=Top-down2022.07 | 74 | — | — | — | — | — | — | — | |
| MehtaApproach=bottom-up2020.08 | 69.8 | — | — | — | — | — | — | — | |
| ORPMApproach Type=Bottom-up2022.07 | 69.8 | — | — | — | — | — | — | — | |
| RogezApproach=top-down2020.08 | 62.4 | — | — | — | — | — | — | — | |
| BEV2023.01 | — | — | — | — | — | — | 70.2 | 75.2 | |
| CRMH2023.01 | — | — | — | — | — | — | 69.1 | 72.2 | |
| Crowd3D2023.01 | — | — | — | — | — | — | 70.9 | 75.4 | |
| Guo et al.2022.07 | — | 39.6 | — | — | — | — | — | — | |
| HDNet2022.07 | — | 35.2 | 39.4 | — | — | — | — | — | |
| PLIKS2022.11 | — | 44.8 | 55.7 | — | — | — | — | — | |
| ROMP2023.01 | — | — | — | — | — | — | 69.9 | 74.6 | |
| Rootnet2022.11 | — | 31.8 | 31 | — | — | — | — | — | |
| RootNet2022.07 | — | 31.8 | 31 | — | — | — | — | — | |
| Sarandi et al.2022.07 | — | 40.5 | — | — | — | — | — | — | |
| SMAP2022.07 | — | 38.7 | 45.5 | — | — | — | — | — | |
| Vages et al.2022.07 | — | 39.6 | — | — | — | — | — | — | |
| VirtualPose2022.07 | — | 47 | 53.5 | — | — | — | — | — | |
| VirtualPose2022.11 | — | 47 | 53.5 | — | — | — | — | — |