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.

翻译：本文提出PHRIT，一种结合参数化网格与隐式表示优势的隐式模板参数化手部网格建模新方法。该方法利用基于部件形状先验的有符号距离场（SDF）表示可变形手部形状，并通过变形场执行形变。模型通过以无限分辨率对规范模板进行形变，实现高效高保真手部重建。此外，该模型完全可微分，且可通过骨架和形状隐码驱动，便于手部建模应用。我们在多个下游任务上评估PHRIT，包括骨架驱动的手部重建、点云形状重建及单视图三维重建，实验证明该方法能以最先进性能实现逼真沉浸的手部建模。