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3D Hand Pose Estimation on HO-3D v2

0.793PA-MPJPE (mm)AnyHandNet-D (Real + AnyHand)
0.324723.485616.64659.80739Mar 26, 2026

Evaluation results

MethodLinks
AnyHandNet-D (Real + AnyHand)Input=RGB-D, Depth=MoGe-2 [63] Estimated Depth2026.030.793—————1.068
AnyHandNet-D (Real-only)Input=RGB-D, Depth=MoGe-2 [63] Estimated Depth2026.030.802—————1.184
AnyHandNet-D (Real + AnyHand)Input=RGB-D, Depth=Ground-truth2026.030.814—————1.097
AnyHandNet-D (Real + AnyHand)Input=RGB-D, Ablation=w/o RGB-D Cross Attention2026.030.855—————1.211
IPNetInput=D&PCL2026.030.871—————2.01
AnyHandNet-D (Real-only)Input=RGB-D, Depth=Ground-truth2026.030.891—————1.201
DiffHandInput=RGB-D2026.030.93——————
Keypoint-FusionInput=RGB-D2026.030.943—————1.87
WiLoR w/ AnyHandCo-training=AnyHand2026.037.35585.384.87.62464.998.4—
HaMeR w/ AnyHandCo-training=AnyHand2026.037.47185.184.77.67664.598.4—
Hamba2026.037.58584.37.764.898.2—
WiLoR2026.037.585.184.67.764.698.3—
HaMeR2026.037.784.684.17.963.598—
AMVUR2026.038.383.583.68.260.896.5—
HandOccNet2026.039.181.981.98.856.496.3—
MobRecon2026.039.2——9.453.895.7—
Liu et al.2026.039.980.3819.552.895.6—
I2UV-HandNet2026.039.980.479.910.15094.3—
METRO2026.0310.479.277.911.148.494.6—
HOnnotate2026.0310.778.87910.650.694.2—
KeypointTrans2026.0310.878.6—————
Hasson et al.2026.03117877.711.246.493.9—
I2L-MeshNet2026.0311.277.572.213.940.993.2—
ArtiBoost2026.0311.477.378.210.948.894.4—
Pose2Mesh2026.0312.575.474.912.744.190.9—