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» Efficient Importance Sampling Techniques for the Photon Map
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CGF
2006
126views more  CGF 2006»
13 years 5 months ago
Soft Shadow Maps: Efficient Sampling of Light Source Visibility
Shadows, particularly soft shadows, play an important role in the visual perception of a scene by providing visual cues about the shape and position of objects. Several recent alg...
Lionel Atty, Nicolas Holzschuch, Marc Lapierre, Je...
AAAI
2008
13 years 7 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
CGF
2007
168views more  CGF 2007»
13 years 5 months ago
Global Illumination using Photon Ray Splatting
We present a novel framework for efficiently computing the indirect illumination in diffuse and moderately glossy scenes using density estimation techniques. Many existing global...
Robert Herzog, Vlastimil Havran, Shin-ichi Kinuwak...
CGI
2004
IEEE
13 years 9 months ago
Spatio-Temporal Photon Density Estimation Using Bilateral Filtering
Photon tracing and density estimation are well established techniques in global illumination computation and rendering of high-quality animation sequences. Using traditional densi...
Markus Weber, Marco Milch, Karol Myszkowski, Kiril...
CCE
2004
13 years 5 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...