A statistical framework for comparing importance sampling methods, and an application to rectangular lights

Leonid Pekelis, Christophe Hery


Importance sampling methods for ray tracing are numerous. One reason is due to the lack of a robust, quantitative method for comparison. This tech memo takes strides to provide a framework for comparing sampling methods on fair ground. We define a simple, mathematical notion of strictly preferring one method to another. We demonstrate how to apply the framework in comparing three methods from sampling light rays from a rectangular light source. One method, Angular Stratification, is new to the literature.

Paper (PDF)

Available as Pixar Technical Memo #14-01