Robust Sample Budget Allocation for MIS
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Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Multiple Importance Sampling (MIS) combines several sampling techniques. Its weighting scheme depends on how many samples are generated with each particular method. This paper examines the optimal determination of the number of samples allocated to each of the combined techniques taking into account that this decision can depend only on a relatively small number of previous samples. The proposed method is demonstrated with the combination of BRDF sampling and Light source sampling, and we show that due to its robustness, it can outperform the theoretically more accurate approaches.
Description
@inproceedings{10.2312:egs.20221022,
booktitle = {Eurographics 2022 - Short Papers},
editor = {Pelechano, Nuria and Vanderhaeghe, David},
title = {{Robust Sample Budget Allocation for MIS}},
author = {Szirmay-Kalos, László and Sbert, Mateu},
year = {2022},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-169-4},
DOI = {10.2312/egs.20221022}
}