Sliced optimal transport sampling

In this paper, we introduce a numerical technique to generate sample distributions in arbitrary dimension for improved accuracy of Monte Carlo integration. We point out that optimal transport offers theoretical bounds on Monte Carlo integration error, and that the recently-introduced numerical frame...

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Bibliographic Details
Published in:ACM transactions on graphics 2020-07, Vol.39 (4), p.99:1-99:17, Article 99
Main Authors: Paulin, Lois, Bonneel, Nicolas, Coeurjolly, David, Iehl, Jean-Claude, Webanck, Antoine, Desbrun, Mathieu, Ostromoukhov, Victor
Format: Article
Language:English
Subjects:
Computational Geometry
Computer graphics
Computer Science
Computing methodologies
Image Processing
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