  We propose PHRIT, a novel approach for parametric hand mesh modeling with an
implicit template that combines the advantages of both parametric meshes and
implicit representations. Our method represents deformable hand shapes using
signed distance fields (SDFs) with part-based shape priors, utilizing a
deformation field to execute the deformation. The model offers efficient
high-fidelity hand reconstruction by deforming the canonical template at
infinite resolution. Additionally, it is fully differentiable and can be easily
used in hand modeling since it can be driven by the skeleton and shape latent
codes. We evaluate PHRIT on multiple downstream tasks, including
skeleton-driven hand reconstruction, shapes from point clouds, and single-view
3D reconstruction, demonstrating that our approach achieves realistic and
immersive hand modeling with state-of-the-art performance.
