Inferred shading mechanism
AssigneeIntel Corporation
InventorsSelvakumar Panneer, Mrutunjayya Mrutunjayya, Carl S. Marshall, Ravishankar Iyer, Zack Waters
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Abstract
An apparatus to facilitate inferred object shading is disclosed. The apparatus comprises one or more processors to receive rasterized pixel data and hierarchical data associated with one or more objects and perform an inferred shading operation on the rasterized pixel data, including using one or more trained neural networks to perform texture and lighting on the rasterized pixel data to generate a pixel output, wherein the one or more trained neural networks uses the hierarchical data to learn a three-dimensional (3D) geometry, latent space and representation of the one or more objects.
Claims20
An apparatus to facilitate inferred object shading, comprising:
- one or more processors to receive rasterized pixel data and hierarchical data associated with one or more objects and perform an inferred shading operation on the rasterized pixel data, including using one or more trained neural networks to perform texture and lighting on the rasterized pixel data to generate a pixel output, wherein the one or more trained neural networks uses the hierarchical data to learn a three-dimensional (3D) geometry and latent space of the one or more objects.
A method to facilitate inferred object shading, comprising:
- receiving rasterized pixel data associated with one or more objects;
- receiving hierarchical data associated with the one or more objects;
- and
- performing an inferred shading operation on the rasterized pixel data, including using one or more trained neural networks to perform texture and lighting on the rasterized pixel data to generate a pixel output, wherein the one or more trained neural networks uses the hierarchical data to learn a three-dimensional (3D) geometry, latent space latent space of the one or more objects.
At least one non-transitory computer readable medium having instructions stored thereon, which when executed by one or more processors, cause the processors to:
- receive rasterized pixel data associated with one or more objects;
- receive hierarchical data associated with the one or more objects;
- and
- perform an inferred shading operation on the rasterized pixel data, including using one or more trained neural networks to perform texture and lighting on the rasterized pixel data to generate a pixel output, wherein the one or more trained neural networks uses the hierarchical data to learn a three-dimensional (3D) geometry and latent space of the one or more objects.
Dependencies are inferred from the claim text.