Abstract: In one embodiment, a method for determine visibility may perform intersection tests using block beams, tile beams, and rays. First, a computing system may project a block beam to test for intersection with a first bounding volume (BV) in a bounding volume hierarchy. If the beam fully contains BV, the system may test for more granular intersections with the first BV by projecting smaller tile beams contained within the block beam. Upon determining that the first BV partially intersects a tile beam, the system may project the tile beam against a second BV contained within the first BV. If the tile beam fully contains the second BV, the system may test for intersection using rays contained within the tile beam. The system may project procedurally-generated rays to test whether they intersect with objects contained within the second BV. Information associated with intersections may be used to render a computer-generated scene.

Abstract: In one embodiment, a computing system may determine a first orientation in a 3D space based on first sensor data generated at a first time. The system may determine a first visibility of an object in the 3D space by projecting rays based on the first orientation to test for intersection. The system may generate first lines of pixels based on the determined first visibility and output the first lines of pixels for display. The system may determine a second orientation based on second sensor data generated at a second time. The system may determine a second visibility of the object by projected rays based on the second orientation to test for intersection. The system may generate second lines of pixels based on the determined second visibility and output the second lines of pixels for display. The second lines of pixels are displayed concurrently with the first lines of pixels.

Abstract: In one embodiment, a computer system may determine an orientation in a 3D space based on sensor data generated by a virtual reality device. The system may generate ray footprints in the 3D space based on the determined orientation. For at least one of the ray footprints, the system may identify a corresponding number of subsamples to generate for that ray footprint and generate one or more coordinates in the ray footprint based on the corresponding number of subsamples. The system may determine visibility of one or more objects defined within the 3D space by projecting a ray from each of the one or more coordinates to test for intersection with the one or more objects. The system may generate an image of the one or more objected based on the determined visibility of the one or more objects.

Abstract: In one embodiment, a computing system may receive a focal surface map, which may be specified by an application. The system may determine an orientation in a 3D space based on sensor data generated by a virtual reality device. The system may generate first coordinates in the 3D space based on the determined orientation and generate second coordinates using the first coordinates and the focal surface map. Each of the first coordinates is associated with one of the second coordinates. For each of the first coordinates, the system may determine visibility of one or more objects defined within the 3D space by projecting a ray from the first coordinate through the associated second coordinate to test for intersection with the one or more objects. The system may generate an image of the one or more objected based on the determined visibility of the one or more objects.

Abstract: A method, computer readable medium, and system are disclosed for rendering images utilizing a foveated rendering algorithm with post-process filtering to enhance a contrast of the foveated image. The method includes the step of receiving a three-dimensional scene, rendering the 3D scene according to a foveated rendering algorithm to generate a foveated image, and filtering the foveated image using a contrast-enhancing filter to generate a filtered foveated image. The foveated rendering algorithm may incorporate aspects of coarse pixel shading, mipmapped texture maps, linear efficient anti-aliased normal maps, exponential variance shadow maps, and specular anti-aliasing techniques. The foveated rendering algorithm may also be combined with temporal anti-aliasing techniques to further reduce artifacts in the foveated image.

Abstract: A method, computer readable medium, and system are disclosed for performing spatiotemporal filtering. The method includes identifying image data to be rendered, reconstructing the image data to create reconstructed image data, utilizing a filter including a neural network having one or more skip connections and one or more recurrent layers, and returning the reconstructed image data.

Abstract: A method, computer readable medium, and system are disclosed for performing spatiotemporal filtering. The method includes the steps of applying, utilizing a processor, a temporal filter of a filtering pipeline to a current image frame, using a temporal reprojection, to obtain a color and auxiliary information for each pixel within the current image frame, providing the auxiliary information for each pixel within the current image frame to one or more subsequent filters of the filtering pipeline, and creating a reconstructed image for the current image frame, utilizing the one or more subsequent filters of the filtering pipeline.

Abstract: A method, computer readable medium, and system are disclosed for rendering images utilizing a foveated rendering algorithm with post-process filtering to enhance a contrast of the foveated image. The method includes the step of receiving a three-dimensional scene, rendering the 3D scene according to a foveated rendering algorithm to generate a foveated image, and filtering the foveated image using a contrast-enhancing filter to generate a filtered foveated image. The foveated rendering algorithm may incorporate aspects of coarse pixel shading, mipmapped texture maps, linear efficient anti-aliased normal maps, exponential variance shadow maps, and specular anti-aliasing techniques. The foveated rendering algorithm may also be combined with temporal anti-aliasing techniques to further reduce artifacts in the foveated image.