A machine-learning-based approach can compactly represent sky illumination from both existing analytic sky models and from captured environment maps. The proposed model has low runtime overhead, so it can be used as a generic approach for both offline and real-time applications. This web extra video contains visual comparisons of a daylight simulation rendered using the proposed method and the Hošek and Preetham sky models.
Published on December 6, 2016 by IEEE Computer Society
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