π€ AI Summary
This work addresses the significant challenge of simulating realistic curly hair, where macroscopic deformations are tightly coupled with high-frequency geometric details such as waves and spirals. The authors propose a coiled finite element representation that models each hair strand as a rod-like base augmented with analytically defined high-frequency wrinkles, whose deformation is governed primarily by bending or twisting. To enhance numerical stability, they introduce a curvature energy splitting strategy that decouples stretching, buckling, and bending energies. Combined with a hybrid collision handling scheme and guide-hair-based interpolation, the method efficiently generates dense, structurally intricate curls. The approach achieves stable, visually plausible simulations across diverse scenarios while balancing computational efficiency and geometric fidelity.
π Abstract
Realistic simulation of curly hair is challenging due to the tight coupling between macroscopic strand deformation and high-frequency geometric details such as waves and helices. In this paper, we propose a curly hair model that decomposes each strand into curly elements, consisting of a rod-base configuration and an analytically defined high-frequency wrinkles represented by planar waves or volumetric helices, with deformation governed primarily by bending for wavy hair and twisting for spiral hair. A curvature-energy splitting scheme separates stretching, buckling, and bending contributions, and efficient energy approximations improve numerical robustness and reduce computational cost without degrading visual fidelity. We further introduce a hybrid collision handling strategy that combines coarse collision proxies for the base configuration with analytical treatment of high-frequency details, and adapt guide-strand interpolation to our curly finite-element representation to generate dense hair while preserving fine structure. Experiments demonstrate stable, efficient, and visually faithful simulation of curly hair across diverse scenarios.