TEMPORALLY AMORTIZED SUPERSAMPLING USING A MIXED PRECISION CONVOLUTIONAL NEURAL NETWORK

    公开(公告)号:WO2023022806A1

    公开(公告)日:2023-02-23

    申请号:PCT/US2022/036112

    申请日:2022-07-05

    Abstract: One embodiment provides a graphics processor comprising a set of processing resources configured to perform a supersampling operation via a mixed precision convolutional neural network, the set of processing resources including circuitry configured to receive, at an input block of a neural network model, history data, velocity data, and current frame data, pre-process the history data, velocity data, and current frame data to generate pre-processed data, provide the pre-processed data to a feature extraction network of the neural network model, process the pre-processed data at the feature extraction network via one or more encoder stages and one or more decoder stages, and generate an output image via an output block of the neural network model via direct reconstruction or kernel prediction.

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