Work

PHRIT: Parametric Hand Representation with Implicit Template

Year: 2023

Type: conference-paper

Abstract: 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 singleview 3D reconstruction, demonstrating that our approach achieves realistic and immersive hand modeling with state- of-the-art performance.

Source: IEEE/CVF International Conference on Computer Vision (ICCV)

DOI: 10.1109/iccv51070.2023.01375

Authors: Zhisheng Huang, Yujin Chen, Di Kang, Jinlu Zhang, Zhigang Tu

Institutions: Wuhan University, Technical University of Munich, Tencent (China)

Language: English

Topic: 3D Shape Modeling and Analysis

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Wuhan University, Science Fund for Distinguished Young Scholars of Hubei Province

Awards: G7860316737, G975496403