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N-Dimensional Gaussians for Fitting of High Dimensional Functions

Our method optimizes N-Dimensional Gaussians to approximate high dimensional anisotropic functions in a few minutes. Our parameterization, culling and optimization-controlled refinement allows us to quickly estimate Gaussian parameters to represent various complex functions. We show two applications: 10D+ Application (Top): Synthetic scenes for which we can render G-Buffers such as world position, albedo, roughness etc. can be shaded with global illumination through our 10D+ Gaussian mixture. Ev...

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