We present a novel framework for seamless volumetric fracturing that offers significant advantages over existing methods. Our approach is based on new memory-efficient data structure s and fast parallel algorithms.

This importance sampling method for the bidirectional scattering distribution function (bsdf) of hair provides an algorithm for hair scattering that is effective at reducing noise, simple to implement, and efficient to evaluate.

Research Paper for Efficient and Seamless Volumetric Fracturing