Area-preserving parameterizations for spherical ellipses
Ib\'on Guill\'en, Carlos Ure\~na, Alan King, Marcos Fajardo, Iliyan, Georgiev, Jorge L\'opez-Moreno, Adrian Jarabo

TL;DR
This paper introduces new area-preserving mappings from a square to spherical ellipses, enabling low-variance sampling of disk-shaped light sources for improved rendering quality.
Contribution
The authors develop two novel area-preserving mappings for spherical ellipses, enhancing stratified sampling efficiency in rendering applications.
Findings
Lower variance in sampling compared to previous methods
Effective integration into production rendering pipelines
Demonstrated improved rendering quality
Abstract
We present new methods for uniformly sampling the solid angle subtended by a disk. To achieve this, we devise two novel area-preserving mappings from the unit square to a spherical ellipse (i.e. the projection of the disk onto the unit sphere). These mappings allow for low-variance stratified sampling of direct illumination from disk-shaped light sources. We discuss how to efficiently incorporate our methods into a production renderer and demonstrate the quality of our maps, showing significantly lower variance than previous work.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
