MIS Compensation: Optimizing Sampling Techniques in Multiple Importance Sampling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10407243" target="_blank" >RIV/00216208:11320/19:10407243 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=YF2.ZBt4B5" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=YF2.ZBt4B5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3355089.3356565" target="_blank" >10.1145/3355089.3356565</a>
Alternative languages
Result language
angličtina
Original language name
MIS Compensation: Optimizing Sampling Techniques in Multiple Importance Sampling
Original language description
Multiple importance sampling (MIS) has become an indispensable tool in Monte Carlo rendering, widely accepted as a near-optimal solution for combining different sampling techniques. But an MIS combination, using the common balance or power heuristics, often results in an overly defensive estimator, leading to high variance. We show that by generalizing the MIS framework, variance can be substantially reduced. Specifically, we optimize one of the combined sampling techniques so as to decrease the overall variance of the resulting MIS estimator. We apply the approach to the computation of direct illumination due to an HDR environment map and to the computation of global illumination using a path guiding algorithm. The implementation can be as simple as subtracting a constant value from the tabulated sampling density done entirely in a preprocessing step. This produces a consistent noise reduction in all our tests with no negative influence on run time, no artifacts or bias, and no failure cases.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA19-07626S" target="_blank" >GA19-07626S: High-fidelity appearance fabrication</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ACM Transactions on Graphics
ISSN
0730-0301
e-ISSN
—
Volume of the periodical
38
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
151
UT code for WoS article
000498397300001
EID of the result in the Scopus database
2-s2.0-85078957998