Voxel Representation

Voxel representations are three-dimensional grid-based structures used to encode and process 3D data, aiming to balance computational efficiency with detailed geometric information. Current research focuses on improving the accuracy and efficiency of voxel-based models for various applications, including 3D object detection, scene reconstruction, and medical image analysis, often employing deep neural networks, attention mechanisms, and novel fusion techniques to integrate voxel data with other modalities like point clouds and images. These advancements are significantly impacting fields like autonomous driving, robotics, and medical imaging by enabling faster and more accurate 3D scene understanding and manipulation.