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A statistical framework for comparing importance sampling methods, and an application to rectangular lights Leonid Pekelis, Christophe Hery February 2014 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 ... more Paper (PDF) Available as Pixar Technical Memo #14-01 |
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A Data-Driven Light Scattering Model for Hair Leonid Pekelis, Christophe Hery, Ryusuke Villemin, Junyi Ling May 2015 We present an implementation of the [Marschner et al. 2003] model for importance sampling light reflected from hair. The implemen- tation makes use of a version of Adaptive Importance Sampling (AIS), specialized to fit easily sampled distributions to BCSDFs. Our model is novel among importance sampling implementations in that it ... more Paper (PDF) Additional materials: [hairlock_eccentricity_085.mov], [hairlock_eccentricity_100.mov] Available as Pixar Technical Memo #15-02 |