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» Importance Resampling for Global Illumination
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RT
2005
Springer
13 years 10 months ago
Importance Resampling for Global Illumination
This paper develops importance resampling into a variance reduction technique for Monte Carlo integration. Importance resampling is a sample generation technique that can be used ...
Justin Talbot, David Cline, Parris K. Egbert
WSCG
2001
91views more  WSCG 2001»
13 years 6 months ago
Zero Variance Importance Sampling Driven Potential Tracing Algorithm for Global Illumination
Qing Xu 0002, Jizhou Sun, Wei Zunce, Yantai Shu, S...
VMV
2000
146views Visualization» more  VMV 2000»
13 years 6 months ago
Efficient Importance Sampling Techniques for the Photon Map
In global illumination computations the photon map is a powerful tool for approximating the irradiance, which is stored independent from scene geometry. By presenting a new algori...
Alexander Keller, Ingo Wald
WSCG
2004
142views more  WSCG 2004»
13 years 6 months ago
Metropolis Iteration for Global Illumination
This paper presents a stochastic iteration algorithm solving the global illumination problem, where the random sampling is governed by classical importance sampling and also by th...
László Szirmay-Kalos, Bálazs ...
CGF
2008
129views more  CGF 2008»
13 years 4 months ago
Caustic Forecasting: Unbiased Estimation of Caustic Lighting for Global Illumination
We present an unbiased method for generating caustic lighting using importance sampled Path Tracing with Caustic Forecasting. Our technique is part of a straightforward rendering ...
B. C. Budge, John C. Anderson, Kenneth I. Joy