منابع مشابه
Table-driven Adaptive Importance Sampling
Monte Carlo rendering algorithms generally rely on some form of importance sampling to evaluate the measurement equation. Most of these importance sampling methods only take local information into account, however, so the actual importance function used may not closely resemble the light distribution in the scene. In this paper, we present Table-driven Adaptive Importance Sampling (TAIS), a sam...
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Importance sampling has become an indispensable strategy to speed up optimization algorithms for large-scale applications. Improved adaptive variants—using importance values defined by the complete gradient information which changes during optimization—enjoy favorable theoretical properties, but are typically computationally infeasible. In this paper we propose an efficient approximation of gra...
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ژورنال
عنوان ژورنال: Computer Graphics Forum
سال: 2008
ISSN: 0167-7055,1467-8659
DOI: 10.1111/j.1467-8659.2008.01249.x