CPC G06T 5/002 (2013.01) [G06T 7/248 (2017.01); G06T 7/50 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/20084 (2013.01)] | 20 Claims |
1. A computer-implemented method, comprising:
receiving guide data for a rendered image frame in a sequence of rendered image frames, the sequence including a previous rendered image frame and the rendered image frame;
receiving external state including a reconstructed previous rendered image frame with fewer artifacts compared with the previous rendered image frame, wherein the external state is warped, using difference data corresponding to changes between the previous rendered image frame and the rendered image frame, to produce warped external state; and
processing the guide data for the rendered image frame using layers of a neural network model to produce a sample map that indicates a number of samples to be computed for each pixel in the rendered image frame, wherein the warped external state replaces hidden state generated by one or more of the layers of the neural network.
|