Abstract: Apparatus and method for a hierarchical beam tracer.

Abstract: Apparatus and method including cell primitive for unstructured volume rendering. For example, one embodiment of an apparatus comprises: a ray generator to generate a plurality of rays in a first graphics scene; a hierarchical acceleration data structure generator to construct a hierarchical acceleration data structure comprising a plurality of hierarchically arranged nodes including leaf nodes and inner nodes; traversal circuitry to traverse one or more of the rays through the hierarchical acceleration data structure; unstructured volume intersection circuitry to intersect a ray with an unstructured volume primitive within a leaf node of the hierarchical acceleration data structure, the unstructured volume intersection circuitry to determine multiple intersection hits between a ray and an unstructured volume primitive.

Abstract: Embodiments disclosed herein include 3D displays with meta-surfaces and methods of forming such displays. In an embodiment, a display may comprise a display backplane substrate, and a light emission source on the display backplane substrate. In an embodiment, a meta-surface may be formed over the light emission source. In an embodiment, the meta-surface comprises a plurality of nano-features for modifying a path of light emitted by the light emission source.

Abstract: An apparatus to facilitate generating a multi-focal/multi-plane (MF/MP) display is disclosed. The apparatus comprises one or more processors to generate a plurality full resolution views for each frame of a three-dimension (3D) scene, perform deep neural network (DNN) inferencing using the plurality of full resolution views to select two or more presentation planes from among a plurality of available planes for display.

Abstract: Techniques related to generating holographic images are discussed. Such techniques include application of a pre-trained deep neural network to a target holographic image to generate a feedback strength value for error feedback in an iterative propagation feedback model and generating a diffraction pattern image corresponding to the target holographic image by applying the iterative propagation feedback model based on the target holographic image and using the feedback strength value.

Abstract: Techniques related to generating holographic images are discussed. Such techniques include application of a hybrid system including a pre-trained deep neural network and a subsequent iterative process using a sui table propagation model to generate diffraction pattern image data for a target holographic image such that the diffraction pattern image data is to generate a holographic image when implemented via a holographic display.

Abstract: Systems, devices, and techniques related to thin form factor head mounted displays and near light field displays are discussed. Such devices may include a display to present elemental images, a primary lens array in an optical path between the display and a viewing zone of a user, the primary lens array to magnify elemental images to a viewing zone, and a secondary array of optical elements between the display and the primary lens array to concentrate elemental images from the display to the primary lens array.