Skip to main content
Computer Graphics

Return to Answer

deleted 3 characters in body
Source Link
user2500
user2500

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 and, the filter parameters used and how several secondary features are pre-computed to feed the neural network.

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 and the filter parameters used and how several secondary features are pre-computed to feed the neural network.

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.

Source Link
user2500
user2500

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 and the filter parameters used and how several secondary features are pre-computed to feed the neural network.