Presentation

Fast and Accurate Gaussian Process Modelling of Real-World Materials
DescriptionWe propose a BRDF modeling method that provides accurate and compact representations for isotropic and anisotropic BRDFs. We propose new theoretical developments enabling tractable Gaussian Process BRDF regression, leading to analytical BRDF representations. State-of-the-art methods can be outperformed in most BRDF cases by using a small training set of observations.
Event Type
Technical Paper
TimeTuesday, 21 July 202611:15am - 11:25am PDT
LocationRoom 408 A
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Tuesday, 21 July 202610:45am - 12:15pm PDTRoom 408 A
Keywords
Artificial Intelligence/Machine Learning
Rendering
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