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» Optimizing Control Variate Estimators for Rendering
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CGF
2006
94views more  CGF 2006»
13 years 4 months ago
Optimizing Control Variate Estimators for Rendering
We present the Optimizing Control Variate (OCV) estimator, a new estimator for Monte Carlo rendering. Based upon a deterministic sampling framework, OCV allows multiple importance...
Shaohua Fan, Stephen Chenney, Bo Hu, Kam-Wah Tsui,...
SGP
2007
13 years 7 months ago
Voronoi-based variational reconstruction of unoriented point sets
We introduce an algorithm for reconstructing watertight surfaces from unoriented point sets. Using the Voronoi diagram of the input point set, we deduce a tensor field whose princ...
Pierre Alliez, David Cohen-Steiner, Yiying Tong, M...
WSC
2004
13 years 6 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
ECCV
2010
Springer
13 years 10 months ago
One-Shot Optimal Exposure Control
We introduce an algorithm to estimate the optimal exposure parameters from the analysis of a single, possibly under- or over-exposed, image. This algorithm relies on a new quantita...
WSC
2007
13 years 7 months ago
Non-linear control variates for regenerative steady-state simulation
We assume the existence of a parameterized family of control variates that could be used in a regenerative steady-state simulation. We show how such controls can be generated in t...
Sujin Kim, Shane G. Henderson