Temporally amortized supersampling using a kernel splatting network

Abstract

One embodiment provides a graphics processor comprising processing resources configured to perform a supersampling anti-aliasing operation via a mixed precision convolutional neural network. The processing resources include circuitry configured to receive, at an input block of a neural network model, a data including previous frame data, current frame data, jitter offset data, and velocity data, pre-process the data to generate pre-processed data, provide pre-processed data to a feature extraction network of the neural network model and an output block of the neural network model, process the first pre-processed data at the feature extraction network via one or more encoder stages and one or more decoder stages, output tensor data from the feature extraction network to the output block, and generate an anti-aliased output frame via the output block based on the current frame data and the tensor data output from the feature extraction network.