Please use this identifier to cite or link to this item:
doi:10.22028/D291-45945
Title: | Less can be more: A Footprint-driven Heuristic to skip Wasted Connections and Merges in Bidirectional Rendering |
Author(s): | Yazici, Ömercan Grittmann, Pascal Slusallek, Philipp |
Language: | English |
Title: | Eurographics Symposium on Rendering |
Publisher/Platform: | The Eurographics Association |
Year of Publication: | 2025 |
Place of publication: | Kopenhagen |
Place of the conference: | Kopenhagen |
DDC notations: | 500 Science 600 Technology |
Publikation type: | Conference Paper |
Abstract: | Bidirectional rendering algorithms can robustly render a wide range of scenes and light transport effects. Their robustness stems from the fact that they combine a huge number of sampling techniques: Paths traced from the camera are combined with paths traced from the lights by connecting or merging their vertices in all possible combinations. The flip side of this robustness is that efficiency suffers because most of these connections and merges are not useful – their samples will have a weight close to zero. Skipping these wasted computations is hence desirable. Prior work has attempted this via manual parameter tuning, by classifying materials as “specular”, “glossy”, or “diffuse”, or via costly data-driven adaptation. We, instead, propose a simple footprint-driven heuristic to selectively enable only the most impactful bidirectional techniques. Our heuristic is based only on readily available PDF values, does not require manual tuning, supports arbitrarily complex material systems, and does not require precomputation. |
DOI of the first publication: | 10.2312/sr.20251180 |
URL of the first publication: | https://diglib.eg.org/items/30dd2664-1c67-4f52-b17e-19ba1e2d7d5b |
Link to this record: | urn:nbn:de:bsz:291--ds-459451 hdl:20.500.11880/40340 http://dx.doi.org/10.22028/D291-45945 |
ISBN: | 978-3-03868-292-9 |
ISSN: | 1727-3463 |
Date of registration: | 4-Aug-2025 |
Third-party funds sponsorship: | Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) |
Sponsorship ID: | 540768663 |
Faculty: | MI - Fakultät für Mathematik und Informatik |
Department: | MI - Informatik |
Professorship: | MI - Prof. Dr. Philipp Slusallek |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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sr20251180-5.pdf | Main article | 28,95 MB | Adobe PDF | View/Open |
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