3D Hand Pose Estimation on FreiHAND
5.394PA-MPJPE (mm)WiLoR
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| WiLoRCo-training=AnyHand2026.03 | 5.394 | — | 82.7 | 99.4 | 5.046 | |
| WiLoR2026.03 | 5.5 | — | 82.5 | 99.3 | 5.1 | |
| HaMeRCo-training=AnyHand2026.03 | 5.545 | — | 81.1 | 99.3 | 5.246 | |
| MobRecon2026.03 | 5.7 | — | 78.4 | 98.6 | 5.8 | |
| Hamba2026.03 | 5.7 | — | 80.6 | 99.2 | 5.3 | |
| Mesh Graphormer2026.03 | 5.9 | — | 76.4 | 98.6 | 6 | |
| HaMeR2026.03 | 6 | — | 78.5 | 99 | 5.7 | |
| ConvNeXt-SBackbone Type=C, Params (M)=51.5, FLOPs (G)=8.7, Input Resolution=256x2562022.11 | 6.04 | — | — | — | — | |
| MogaNet-SBackbone Type=C, Params (M)=26.6, FLOPs (G)=5, Input Resolution=256x2562022.11 | 6.08 | — | — | — | — | |
| MogaNet-S#P. (M)=27, FLOPs (G)=5.02022.11 | 6.08 | — | — | — | — | |
| ConvNeXt-TBackbone Type=C, Params (M)=29.9, FLOPs (G)=4.5, Input Resolution=256x2562022.11 | 6.18 | — | — | — | — | |
| AMVUR2026.03 | 6.2 | — | 76.7 | 98.7 | 6.1 | |
| HorNet-T#P. (M)=25, FLOPs (G)=4.32022.11 | 6.23 | — | — | — | — | |
| ResNet-101Backbone Type=C, Params (M)=45.9, FLOPs (G)=7.9, Input Resolution=256x2562022.11 | 6.44 | — | — | — | — | |
| HorNet-TBackbone Type=C, Params (M)=23.7, FLOPs (G)=4.3, Input Resolution=256x2562022.11 | 6.46 | — | — | — | — | |
| ConvNeXt-T#P. (M)=30, FLOPs (G)=4.52022.11 | 6.46 | — | — | — | — | |
| Swin-SBackbone Type=T, Params (M)=51, FLOPs (G)=13.8, Input Resolution=256x2562022.11 | 6.5 | — | — | — | — | |
| CLIFF + PROMorthogonalization=PROM2023.12 | 6.5 | — | — | — | 6.4 | |
| METRO2026.03 | 6.5 | — | 73.1 | 98.4 | 6.3 | |
| I2UV-HandNet2026.03 | 6.7 | — | 70.7 | 97.7 | 6.9 | |
| CLIFF2023.12 | 6.8 | — | — | — | 6.6 | |
| MogaNet-TBackbone Type=C, Params (M)=6.5, FLOPs (G)=1.1, Input Resolution=256x2562022.11 | 6.82 | — | — | — | — | |
| ResNet-50Backbone Type=C, Params (M)=26.9, FLOPs (G)=4.1, Input Resolution=256x2562022.11 | 6.85 | — | — | — | — | |
| Swin-TBackbone Type=T, Params (M)=30.2, FLOPs (G)=4.6, Input Resolution=256x2562022.11 | 6.97 | — | — | — | — | |
| Swin-T#P. (M)=30, FLOPs (G)=4.62022.11 | 6.97 | — | — | — | — | |
| I2L-MeshNet2026.03 | 7.4 | — | 68.1 | 97.3 | 7.6 | |
| ResNet-18Backbone Type=C, Params (M)=13, FLOPs (G)=1.8, Input Resolution=256x2562022.11 | 7.51 | — | — | — | — | |
| Pose2Mesh2026.03 | 7.7 | — | 67.4 | 96.9 | 7.8 | |
| DeiT-SBackbone Type=T, Params (M)=23.4, FLOPs (G)=4.3, Input Resolution=256x2562022.11 | 7.86 | — | — | — | — | |
| DeiT-S#P. (M)=25, FLOPs (G)=4.82022.11 | 7.86 | — | — | — | — | |
| MobileNetV2Backbone Type=C, Params (M)=4.8, FLOPs (G)=0.3, Input Resolution=256x2562022.11 | 8.33 | — | — | — | — | |
| MANO CNN2021.05 | 11 | 10.9 | 51.6 | 93.4 | — | |
| MANO CNN2023.12 | 11 | — | — | — | 10.9 | |
| PIXIErole=hand expert2021.05 | 12 | 12.1 | 46.8 | 91.9 | — | |
| ExPoserole=hand expert2021.05 | 12.2 | 11.8 | 48.4 | 91.8 | — | |
| Zhou et al.2021.05 | 15.7 | — | — | — | — |