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Preprints of the Keldysh Institute of Applied Mathematics, 2017, 116, 34 pp.
DOI: https://doi.org/10.20948/prepr-2017-116 (Mi ipmp2332) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Selective application of Metropolis Light Transport for hard sampling illumination phenomena

V. Frolov
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DOI: https://doi.org/10.20948/prepr-2017-116
Abstract: In this paper a method for combining Ordinary Monte Carlo (OMC) and Markov Chain Monte Carlo (MCMC) is proposed. We combine Bidirectional Path Tracing (BPT) and Multiplexed Metropolis Light Transport (MMLT) in image space by using per pixel mask that is obtained from BPT noise analysis. The resulting method is more accurate than BPT and produces more pleasant image than MMLT.
Keywords: Metropolis Light Transport, Markov Chain Monte Carlo, ray tracing, bidirectional path tracing.
Funding agency Grant number
Russian Foundation for Basic Research 16-31-60048_мол_а_дк
Document Type: Preprint
Language: Russian
Citation: V. Frolov, “Selective application of Metropolis Light Transport for hard sampling illumination phenomena”, Keldysh Institute preprints, 2017, 116, 34 pp.
Citation in format AMSBIB
\Bibitem{Fro17}
\by V.~Frolov
\paper Selective application of Metropolis Light Transport for hard sampling illumination phenomena
\jour Keldysh Institute preprints
\yr 2017
\papernumber 116
\totalpages 34
\mathnet{http://mi.mathnet.ru/ipmp2332}
\crossref{https://doi.org/10.20948/prepr-2017-116}
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  • https://www.mathnet.ru/eng/ipmp/y2017/p116
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Препринты Института прикладной математики им. М. В. Келдыша РАН
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