Replica Exchange Light Transport
Autor: | Fumio Kishino, Yoshifumi Kitamura, Shinya Kitaoka |
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Rok vydání: | 2009 |
Předmět: |
Mathematical optimization
Photon mapping Global illumination Computer science Rejection sampling Monte Carlo method Sampling (statistics) Markov chain Monte Carlo Computer Graphics and Computer-Aided Design Metropolis light transport Hybrid Monte Carlo symbols.namesake Path tracing Dynamic Monte Carlo method symbols Particle Monte Carlo method in statistical physics Specular reflection Statistical physics Monte Carlo algorithm Importance sampling |
Zdroj: | Computer Graphics Forum. 28:2330-2342 |
ISSN: | 1467-8659 0167-7055 |
DOI: | 10.1111/j.1467-8659.2009.01540.x |
Popis: | We solve the light transport problem by introducing a novel unbiased Monte Carlo algorithm called replica exchange light transport, inspired by the replica exchange Monte Carlo method in the fields of computational physics and statistical information processing. The replica exchange Monte Carlo method is a sampling technique whose operation resembles simulated annealing in optimization algorithms using a set of sampling distributions. We apply it to the solution of light transport integration by extending the probability density function of an integrand of the integration to a set of distributions. That set of distributions is composed of combinations of the path densities of different path generation types: uniform distributions in the integral domain, explicit and implicit paths in light (particle/photon) tracing, indirect paths in bidirectional path tracing, explicit and implicit paths in path tracing, and implicit caustics paths seen through specular surfaces including the delta function in path tracing. The replica-exchange light transport algorithm generates a sequence of path samples from each distribution and samples the simultaneous distribution of those distributions as a stationary distribution by using the Markov chain Monte Carlo method. Then the algorithm combines the obtained path samples from each distribution using multiple importance sampling. We compare the images generated with our algorithm to those generated with bidirectional path tracing and Metropolis light transport based on the primary sample space. Our proposing algorithm has better convergence property than bidirectional path tracing and the Metropolis light transport, and it is easy to implement by extending the Metropolis light transport. |
Databáze: | OpenAIRE |
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