This case streams high-fidelity splats to important view regions and lower-fidelity data elsewhere to reduce bandwidth and compute.
Automatically reorder partial vector objects while preserving original geometry.
Hierarchical volumetric caches reduce unnecessary intersection tests while supporting real-time acceleration-structure updates.
Image segmentation and audio, visual, and haptic cues guide camera distance, orientation, and speed for more complete 3D scans.
Abstract prompts and rigid camera perspectives hinder image editing; structured dots enable precise object placement and modification.
This graphics case uses primitive boundary intersections to limit precise tile tests, reducing floating-point work, time, and power.
Quality and visibility values select 3D model tree nodes, reducing transfer size and loading delays for XR rendering.
This case maps point locations to voxel indications in a hash table, reducing memory checks while preserving accurate representations.
This graphics processor stores ordering strategies per parent node to reduce ray-intersection testing time during ray tracing.
This case combines learned meshes, BVH traversal, and shader processing to support real-time 3D rendering with view-dependent colors.
This case builds an optimal 3D model tree that streams visible, high-detail regions first, reducing data transfer and waiting time.
This case separates mesh and photometric normal detail, correcting low-frequency variation before tangent map generation.
Trailing light contributions reduce re-rendering burden while smoothing volumetric images.
This case uses interleaved coordinate codes and node arrays to reduce memory and computational load in dynamic 3D environments.
ISO BMFF stores multiple 3D model LODs so XR devices can match detail to network bandwidth and processing capacity.
This case maps enhancement values onto densely generated polygon points, preserving detail and reducing zoom distortion in point clouds.
This case pairs GPU rendering and NeRF training with NPU inference to preserve graphics API compatibility and accelerate new-view images.
Point cloud alignment and coordinate scaling reduce calibration errors when multiple MR devices reconstruct one scenario.
This case masks virtual-object occlusions before exposure, white-balance, and focus analysis, improving visible-region video quality.