A group from UC Santa Barbara published the Siggraph 2015 paper A Machine Learning Approach for Filtering Monte Carlo Noise describing a technique which trains a neural network to select filtering parameters for path tracing. The paper details the structure of the neural network, the filter parameters used and how several secondary features are pre-computed to feed the neural network.
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