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Liquid-fabric interaction simulations using particle-in-cell (PIC) basedmodels have been used to simulate a wide variety of phenomena and yieldimpressive visual results. However, these models suffer from numerical dampingdue to the data interpolation between the particles and grid. Our paperaddresses this by using the polynomial PIC (PolyPIC) model instead of theaffine PIC (APIC) model that is used in current state-of-the-art wet clothmodels. The affine transfers of the APIC model are replaced by the higher orderpolynomials of PolyPIC, thus reducing numerical dissipation and improvingresolution of vorticial details. This improved energy preservation enables moredynamic simulations to be generated although this is at an increasedcomputational cost.

Using The Polynomial Particle-In-Cell Method For Liquid-Fabric Interaction