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US 2023/0143192 A1Published application
Input filtering and sampler acceleration for supersampling
AssigneeIntel Corporation
InventorsGabor Liktor, Karthik Vaidyanathan
Life of this patent
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AssigneeIntel Corporation
InventorsGabor Liktor, Karthik Vaidyanathan
Estimating the term…
Input filtering and sampler acceleration for supersampling is described. An example of a graphics processor comprises a set of processing resources configured to perform a supersampling operation via a convolutional neural network, the set of processing resources including circuitry configured to receive input data for supersampling processing, the input data including data sampled according to a jitter pattern that varies locations for data samples; apply an image filter to the received input data, wherein the image filter includes weighting for pixels that is based at least in part on the jitter pattern; process the input data to generate upsampled data; and apply supersampling processing to the upsampled data.
A graphics processor comprising:
A method comprising:
One or more non-transitory computer-readable storage mediums having stored thereon executable computer program instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
Dependencies are inferred from the claim text.