Combined denoising and upscaling network with importance sampling in a graphics environment

A method comprising:

• receiving, by a processing resource at an input of a density map neural network, a sampled signal of a current frame and a reconstructed sample of the current frame;
• outputting, from the density map neural network, a prediction of a density map of samples based on the input of the current frame;
• providing the density map of samples to a sampler;
• reprojecting the density map of samples to a next frame;
• and
• applying the reprojected density map of samples to the next frame to generate a next sampled signal.

A system comprising:

• a memory device;
• and
• a graphics processor coupled with the memory device, the graphics processor comprising a set of processing resources to perform a supersampling anti-aliasing operation, the set of processing resources including circuitry configured to:
• receive, at an input of a density map neural network, a sampled signal of a current frame and a reconstructed sample of the current frame;
• output, from the density map neural network, a prediction of a density map of samples based on the input of the current frame;
• provide the density map of samples to a sampler;
• reproject the density map of samples to a next frame;
• and
• apply the reprojected density map of samples to the next frame to generate a next sampled signal.

A non-transitory computer-readable storage medium 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:

• receiving, by a processing resource at an input of a density map neural network, a sampled signal of a current frame and a reconstructed sample of the current frame;
• outputting, from the density map neural network, a prediction of a density map of samples based on the input of the current frame;
• providing the density map of samples to a sampler;
• reprojecting the density map of samples to a next frame;
• and
• applying the reprojected density map of samples to the next frame to generate a next sampled signal.