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Adjoint-Driven Russian Roulette and Splitting in Light Transport Simulation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10336441" target="_blank" >RIV/00216208:11320/16:10336441 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/2897824.2925912" target="_blank" >http://dx.doi.org/10.1145/2897824.2925912</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/2897824.2925912" target="_blank" >10.1145/2897824.2925912</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adjoint-Driven Russian Roulette and Splitting in Light Transport Simulation

  • Original language description

    While Russian roulette (RR) and splitting are considered fundamental importance sampling techniques in neutron transport simulations, they have so far received relatively little attention in light transport. In computer graphics, RR and splitting are most often based solely on local reflectance properties. However, this strategy can be far from optimal in common scenes with non-uniform light distribution as it does not accurately predict the actual path contribution. In our approach, like in neutron transport, we estimate the expected contribution of a path as the product of the path weight and a pre-computed estimate of the adjoint transport solution. We use this estimate to generate so-called weight window which keeps the path contribution roughly constant through RR and splitting. As a result, paths in unimportant regions tend to be terminated early while in the more important regions they are spawned by splitting. This results in substantial variance reduction in both path tracing and photon tracing-based simulations. Furthermore, unlike the standard computer graphics RR, our approach does not interfere with importance-driven sampling of scattering directions, which results in superior convergence when such a technique is combined with our approach. We provide a justification of this behavior by relating our approach to the zero-variance random walk theory.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • 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

    35

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

  • UT code for WoS article

    000380112400012

  • EID of the result in the Scopus database

    2-s2.0-84980002272