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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
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.
Citation:
V. Frolov, “Selective application of Metropolis Light Transport for hard sampling illumination phenomena”, Keldysh Institute preprints, 2017, 116, 34 pp.
Linking options:
https://www.mathnet.ru/eng/ipmp2332 https://www.mathnet.ru/eng/ipmp/y2017/p116
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