Kavli Affiliate: Yi Zhou
| First 5 Authors: Jorge Alejandro Amador Herrera, Jorge Alejandro Amador Herrera, , ,
| Summary:
We propose a novel Augmented Mass-Spring (AMS) model for real-time simulation
of dense hair at strand level. Our approach considers the traditional edge,
bending, and torsional degrees of freedom in mass-spring systems, but
incorporates an additional one-way biphasic coupling with a ghost rest-shape
configuration. Trough multiple evaluation experiments with varied dynamical
settings, we show that AMS improves the stability of the simulation in
comparison to mass-spring discretizations, preserves global features, and
enables the simulation of non-Hookean effects. Using an heptadiagonal
decomposition of the resulting matrix, our approach provides the efficiency
advantages of mass-spring systems over more complex constitutive hair models,
while enabling a more robust simulation of multiple strand configurations.
Finally, our results demonstrate that our framework enables the generation,
complex interactivity, and editing of simulation-ready dense hair assets in
real-time. More details can be found on our project page:
https://agrosamad.github.io/AMS/.
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