Octree Based

Octree-based methods are revolutionizing 3D data processing by offering efficient hierarchical representations of complex scenes. Current research focuses on leveraging octrees within various applications, including 3D shape generation using diffusion models and neural implicit representations, large-scale 3D mapping and scene reconstruction, and point cloud compression. These advancements improve computational efficiency, memory management, and the quality of 3D data processing in fields such as autonomous driving, robotics, and medical imaging, enabling faster and more accurate results.