Primary Sample Space Path Guiding

Primary Sample Space Path Guiding

Guo, Jerry Jinfeng (TU Delft Computer Graphics and Visualisation)
Bauszat, P. (TU Delft Computer Graphics and Visualisation)
Bikker, Jacco (Universiteit Utrecht)
Eisemann, E. (TU Delft Computer Graphics and Visualisation)

Jakob, Wenzel (editor)
Hachisuka, Toshiya (editor)

2018

We present a scheme for unbiased path guiding. Different from existing methods that focus on constructing structures in spatial-directional domain, we work in primary sample space. We collect records containing a few dimensions of random numbers as well as the luminance that the resulting path contributes. A multiple dimensional structure is built with collected information. After this, random numbers are drawn from this structure and is used to feed the path tracer. Using this scheme, we are able to work completely outside the rendering kernel. We demonstrate that our method is practical and can be efficient. We manage to reduce variance and reduce zero radiance paths by only working in the primary sample space.

path guiding
realistic rendering

http://resolver.tudelft.nl/uuid:42546416-9d3c-47fc-b6e2-9799f3350b9b

https://doi.org/10.2312/sre.20181174

Eurographics Association

2021-12-13

978-3-03868-068-0

Eurographics Symposium on Rendering - Experimental Ideas and Implementations

EGSR 2018, 2018-07-02 → 2018-07-04, Karlsruhe Institute of Technology, Karlsruhe, Germany

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2018 Jerry Jinfeng Guo, P. Bauszat, Jacco Bikker, E. Eisemann