Upsampling a digital material model based on radiances

A system comprising:

• a memory component;
• and
• a processing device coupled to the memory component, the processing device to perform operations comprising:
• receiving an input digital material model;
• generating an upsampled texel by bilinearly upsampling a portion of the input digital material model;
• generating a texel having a resolution that is higher than a resolution of the input digital material model based on the upsampled texel using a machine learning model trained on training data to generate texels based on radiances corresponding to different light positions;
• and
• generating an output digital material model based on the texel having the resolution that is higher than the resolution of the input digital material model.

A non-transitory computer-readable storage medium storing executable instructions, which when executed by a processing device, cause the processing device to perform operations comprising:

• receiving an input digital material model having a first resolution;
• generating a bilinearly upsampled texel based on the input digital material model having the first resolution;
• generating a texel having a second resolution that is higher than the first resolution based on the bilinearly upsampled texel using a machine learning model trained on training data to generate texels;
• and
• generating, for display in a user interface, an output digital material model based on the texel having the second resolution, the output digital material model having a resolution that is higher than the first resolution.