Abstract: A system for graphical rendering includes one or more servers configured to determine a mean vector indicative of a ray through one or more conical frustums and a covariance matrix defining lobes in different directions inside the one or more conical frustums to generate an approximation of the one or more conical frustums, generate an input into a trained neural network based on the determined mean vector and the covariance matrix, wherein the trained neural network is trained based on two-dimensional images at different distances from an object and configured to generate sample values of samples within the object, generate the sample values for rendering from the trained neural network based on the input, and output the sample values.