ScaleHP: Scale-Mediated Optimization of Coupled Errors for Metric-Space Hand Pose Estimation
In this paper, we present ScaleHP, a unified framework that explicitly represents per-instance metric scale to resolve the coupled errors in calibrated camera-space hand pose estimation. Under the common root-relative-to-global paradigm, camera-space accuracy depends jointly on relative geometry, root localization, and their scale-dependent composition. ScaleHP treats scale as the shared interface among these terms rather than optimizing them in isolation. Its metric-aware 2D-3D Transformer decoder introduces a dedicated scale token that exchanges information with sparse, semantically indexed 2D/3D joint queries, allowing global metric reasoning and local joint geometry to mutually refine...
| Authors | Ruitao Jing, Xingyu Chen, Hongyang Li et al. |
|---|---|
| Primary category | cs.CV |
| Published | 24 June 2026 |
| Last updated at source | 20 August 2026 |
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