EFFICIENT SPATIOTEMPORAL RESAMPLING USING PROBABILITY DENSITY FUNCTION SIMILARITY
Abstract:
A processor shares path tracing data across sampling locations to amortize computations across space and time. The processor maps a group of sampling locations of a frame that are adjacent to each other to a reservoir. Each reservoir is associated with a ray that intersects subsets of path space such as a pixel. The processor resamples the reservoirs based on a similarity of probability density functions (PDFs) between pixels to select a set of samples mapped to the reservoir. The processor then performs resampling of the selected set of samples to obtain a representative light sample to determine a value for each pixel and renders the frame based on the values of the pixels.
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