Intel Corporation
DEEP LEARNING BASED SELECTION OF SAMPLES FOR ADAPTIVE SUPERSAMPLING

Abstract:

An apparatus to facilitate deep learning based selection of samples for adaptive supersampling is disclosed. The apparatus includes one or more processing elements to: receive training data comprising input tiles and corresponding supersampling values for the input tiles, wherein each input tile comprises a plurality of pixels, and train, based on the training data, a machine learning model to identify a level of supersampling for a rendered tile of pixels.