Abstract
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.
Original language | English |
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Title of host publication | Eurographics Symposium on Rendering - Experimental Ideas and Implementations |
Editors | Wenzel Jakob, Toshiya Hachisuka |
Publisher | Eurographics Association |
Pages | 73-82 |
Number of pages | 10 |
ISBN (Electronic) | 978-3-03868-068-0 |
DOIs | |
Publication status | Published - 2018 |
Event | EGSR 2018: 29th Eurographics Symposium on Rendering - Karlsruhe Institute of Technology, Karlsruhe, Germany Duration: 2 Jul 2018 → 4 Jul 2018 Conference number: 29 http://cg.ivd.kit.edu/egsr18/ |
Conference
Conference | EGSR 2018 |
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Country | Germany |
City | Karlsruhe |
Period | 2/07/18 → 4/07/18 |
Internet address |
Keywords
- path guiding
- realistic rendering