Sag-Free Initialization for Strand-Based Hybrid Hair Simulation
Jerry Hsu, Tongtong Wang, Zherong Pan, Xifeng Gao, Cem Yuksel, Kui Wu
Abstract
Lagrangian/Eulerian hybrid strand-based hair simulation techniques have quickly become a popular approach in VFX and real-time graphics applications. With Lagrangian hair dynamics, the inter-hair contacts are resolved in the Eulerian grid using the continuum method, i.e., the MPM scheme with the granular Drucker-Prager rheology, to avoid expensive collision detection and handling. This fuzzy collision handling makes the authoring process significantly easier. However, although current hair grooming tools provide a wide range of strand-based modeling tools for this simulation approach, the crucial sag-free initialization functionality remains often ignored. Thus, when the simulation starts, gravity would cause any artistic hairstyle to sag and deform into unintended and undesirable shapes. This paper proposes a novel four-stage sag-free initialization framework to solve stable quasistatic configurations for hybrid strand-based hair dynamic systems. These four stages are split into two global-local pairs. The first one ensures static equilibrium at every Eulerian grid node with additional inequality constraints to prevent stress from exiting the yielding surface. We then derive several associated closed-form solutions in the local stage to compute segment rest lengths, orientations, and particle deformation gradients in parallel. The second global-local step solves along each hair strand to ensure all the bend and twist constraints produce zero net torque on every hair segment, followed by a local step to adjust the rest Darboux vectors to a unit quaternion. We also introduce an essential modification for the Darboux vector to eliminate the ambiguity of the Cosserat rod rest pose in both initialization and simulation. We evaluate our method on a wide range of hairstyles, and our approach can only take a few seconds to minutes to get the rest quasistatic configurations for hundreds of hair strands. Our results show that our method successfully prevents sagging and has minimal impact on the hair motion during simulation.
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Cited by top-tier papers6
- Real-time Physically Guided Hair InterpolationJerry Hsu, Tongtong Wang, Zherong Pan, Xifeng Gao et al.SIGGRAPH 2024 · 17 citations
- Real-Time Hair Rendering with Hair MeshesGaurav Bhokare, Eisen Montalvo, Elie Diaz, Cem YukselSIGGRAPH 2024 · 14 citations
- Stable Cosserat RodsJerry Hsu, Tongtong Wang, Kui Wu, Cem YukselSIGGRAPH 2025 · 9 citations
- Augmented Mass-Spring Model for Real-Time Dense Hair SimulationJorge Alejandro Amador Herrera, Yi Zhou, Xin Sun, Zhixin Shu et al.ICCV 2025 · 1 citation
- SimAvatar: Simulation-Ready Avatars with Layered Hair and ClothingXueting Li, Ye Yuan, Shalini De Mello, Gilles Daviet et al.CVPR 2025
Builds on3
- Revisiting integration in the material point method: a scheme for easier separation and less dissipationYun (Raymond) Fei, Qi Guo, Rundong Wu, Li Huang et al.SIGGRAPH 2021 · 51 citations
- Simple and scalable frictional contacts for thin nodal objectsGilles DavietSIGGRAPH 2020 · 50 citations
- A general two-stage initialization for sag-free deformable simulationsJerry Hsu, Nghia Truong, Cem Yuksel, Kui WuSIGGRAPH 2022 · 10 citations
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