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3D Hand Pose Estimation on Dex-YCB (test)

6.27PA-MPJPE (Scene 0)HandMCM
5.563610.331815.119.8682Feb 2, 2026

Evaluation results

MethodLinks
HandMCMInput=RGBD2026.026.27—7.866.26.36.67
K-FusionInput=RGBD2026.026.94—8.647.567.027.54
HandDiffInput=Depth2026.027.66—8.738.47.538.07
HandDAGTInput=Depth2026.027.72—8.688.227.528.03
IPNetInput=Depth2026.028.03—9.018.67.88.36
HandOccNetInput=RGB2026.0214.04—————
METROInput=RGB2026.0215.24—————
Tse et al.Input=RGB2026.0216.05—21.2227.0117.9320.55
Spurr et al.Input=RGB2026.0217.34—22.2625.4918.4418.44
A2JInput=Depth2026.0223.93—25.5727.6524.9225.52
S2HANDTraining Set=FreiHAND2025.03—1.14————
S2HANDTraining Set=FreiHAND + SynFrei2025.03—1.11————
S2HANDTraining Set=Dex-YCB2025.03—0.86————
S2HANDTraining Set=Dex-YCB + SynDex2025.03—0.82————