Adaptive Manifolds for Real-Time High-Dimensional Filtering
For up-to-date information refer to our Project Website:
This document contains various examples illustrating some of the possible
applications of our adaptive-manifold high-dimensional filter. Click on any
image to open it in its original size.
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Click on any image to open it in its original size.
Non-Local Means Denoising
Denoising with Additional Information
Indirect Illumination Filtering
For these examples filtering was performed in a 8-D dimensional space,
composed of 3-D scene position, 3-D normal vectors, and 2-D image space
coordinates. The standard deviations of the filter were SIGMA_S = 32, SIGMA_NORMALS = 0.2, SIGMA_POSITIONS = 0.2. The scene lies inside a [-1,1]^3 cube.