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Making Gabor Noise Fast and Normalized

Vincent Tavernier 1 Fabrice Neyret 1 Romain Vergne 1 Joëlle Thollot 1 
1 MAVERICK - Models and Algorithms for Visualization and Rendering
Inria Grenoble - Rhône-Alpes, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann
Abstract : Gabor Noise is a powerful procedural texture synthesis technique, but it has two major drawbacks: It is costly due to the high required splat density and not always predictable because properties of instances can differ from those of the process. We bench performance and quality using alternatives for each Gabor Noise ingredient: point distribution, kernel weighting and kernel shape. For this, we introduce 3 objective criteria to measure process convergence, process stationarity, and instance stationarity. We show that minor implementation changes allow for 17-24x speed-up with same or better quality.
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Submitted on : Friday, April 19, 2019 - 2:49:53 PM
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Vincent Tavernier, Fabrice Neyret, Romain Vergne, Joëlle Thollot. Making Gabor Noise Fast and Normalized. Eurographics 2019 - 40th Annual Conference of the European Association for Computer Graphics, May 2019, Gênes, Italy. pp.37-40, ⟨10.2312/egs.20191009⟩. ⟨hal-02104389⟩



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