Sag-free Initialization for Strand-based Hybrid Hair Simulation
DescriptionThis paper proposes a novel four-stage, sag-free initialization framework to solve stable quasistatic configurations for hybrid, strand-based hair dynamic systems. Our results show that our method successfully prevents sagging on various hairstyles and has minimal impact on the hair motion during simulation.
TimeSunday, 6 August 20236pm - 8:30pm PDT
Production & Animation
Research & Education
Artificial Intelligence/Machine Learning