2005
DOI: 10.1145/1073204.1073330
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Energy redistribution path tracing

Abstract: We present Energy Redistribution (ER) sampling as an unbiased method to solve correlated integral problems. ER sampling is a hybrid algorithm that uses Metropolis sampling-like mutation strategies in a standard Monte Carlo integration setting, rather than resorting to an intermediate probability distribution step. In the context of global illumination, we present Energy Redistribution Path Tracing (ERPT). Beginning with an inital set of light samples taken from a path tracer, ERPT uses path mutations to redist… Show more

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Cited by 73 publications
(41 citation statements)
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“…Although capable of dealing with complex situations, the main issue for the basic BDPT is excessive noise. This has been addressed by variety of improvement techniques such as Metropolis Light Transport (MLT) [49] [50], Gradient-Domain Bidirectional Path Tracing (G-BDPT) [51], Energy Redistribution Path Tracing (ERPT) [52], Gradient-domain Metropolis Light Transport (G-MLT) [53], Primary Space Simple Metropolis Light Transport (PSSMLT) [54] and particularly interesting Manifold Exploration Path Tracing (MEPT) [55]. Latter chooses mutation in paths to calculate specular regions and caustics and produce smooth results efficiently.…”
Section: Stochastic (Monte Carlo) Based Methods -Ray Tracingmentioning
confidence: 99%
“…Although capable of dealing with complex situations, the main issue for the basic BDPT is excessive noise. This has been addressed by variety of improvement techniques such as Metropolis Light Transport (MLT) [49] [50], Gradient-Domain Bidirectional Path Tracing (G-BDPT) [51], Energy Redistribution Path Tracing (ERPT) [52], Gradient-domain Metropolis Light Transport (G-MLT) [53], Primary Space Simple Metropolis Light Transport (PSSMLT) [54] and particularly interesting Manifold Exploration Path Tracing (MEPT) [55]. Latter chooses mutation in paths to calculate specular regions and caustics and produce smooth results efficiently.…”
Section: Stochastic (Monte Carlo) Based Methods -Ray Tracingmentioning
confidence: 99%
“…Помимо рассмотренных методов на основе алгоритмов Метрополиса, Метрополиса-Гастингса и Монте-Карло с гамильтоновой механикой (HMC), существует как минимум ещё один популярный класс MCMC методов для рен-деринга -методы, основанные на распределении энергии в пространстве изоб-ражения при помощи коротких цепей и фильтрации [36,37]. Их преимущество заключается в большей интерактивности (т. е. в начале расчёта изображение выглядит более правильно) по сравнению с рассмотренными выше алгоритма-ми, однако среди недостатков, как правило, меньшая точность в пределе.…”
Section: 2unclassified
“…The lens subpath mutation, discussed above, tries to redistribute the samples over the image plane, but often lead to rejections. The Energy Redistribution path tracing (ERPT) algorithm [39] is instead based on running a large number of shorter Markov chains seeded from a initial set of samples that is well stratified over the image plane, for example one path per pixel. These samples can for example be obtained using bidirectional path tracing.…”
Section: Energy Redistribution Path Tracing (Erpt)mentioning
confidence: 99%