Dense Grid

Dense grids are a fundamental data structure used in various scientific applications, particularly in representing and processing 3D data for tasks like scene reconstruction and physical system modeling. Current research focuses on improving the efficiency and accuracy of dense grid-based methods, exploring techniques like hierarchical ray traversal, Fourier interpolation, and hybrid representations combining grids with other structures (e.g., planes) to address memory limitations and computational bottlenecks. These advancements are significantly impacting fields such as computer vision (e.g., NeRF rendering, pose registration), molecular modeling, and autonomous driving (e.g., LiDAR object detection), enabling faster and more accurate processing of complex 3D data.