  Liquid-fabric interaction simulations using particle-in-cell (PIC) based
models have been used to simulate a wide variety of phenomena and yield
impressive visual results. However, these models suffer from numerical damping
due to the data interpolation between the particles and grid. Our paper
addresses this by using the polynomial PIC (PolyPIC) model instead of the
affine PIC (APIC) model that is used in current state-of-the-art wet cloth
models. The affine transfers of the APIC model are replaced by the higher order
polynomials of PolyPIC, thus reducing numerical dissipation and improving
resolution of vorticial details. This improved energy preservation enables more
dynamic simulations to be generated although this is at an increased
computational cost.
