Combines a 3D geometric model with text to add texture while preserving contour similarity and enabling interactive view previews.
Scarce and risky real-world scans are replaced by combined bag and threat volumes that expand 3D CT detection training data.
Temporal and spatial reservoir buffers resample illumination samples to reduce ray-tracing compute and memory demands in dynamic scenes.
Position-linked display pairs a planar image area with 3D content, making wide-field and 360-degree scenes easier to view.
VR users can add, remove, or reposition volumetric-video objects while AI and generative models preserve spatiotemporal consistency.
Polar stretching adapts 3D Gaussian rendering to omnidirectional camera distortion while preserving real-time parallel processing.
Laplacian features and a denoising neural network guide implicit representations to accelerate convergence and reduce 3D reconstruction training time.
Synthetic scenes simulate sensor shadows and absorbing objects to train models that restore missing depth values in real images.
A gaze-tracking apparatus compares eye and object movement to adjust responsiveness, suppress involuntary motion, and improve intended-subject focus.
Repeated color and depth reads burden immediate-mode rendering; deferred primitive batches discard non-contributing fragments before shading.