point cloud upsampling

Upsampling point clouds is a key technology in the field of computer vision, aimed at increasing the density of point cloud data to enhance its resolution and detail representation. This technique involves interpolating and optimizing the original sparse point cloud to generate a denser and higher-quality point cloud model, thereby improving the accuracy and robustness of applications such as 3D reconstruction, object recognition, and scene understanding. Upsampling point clouds has significant application value in areas like autonomous driving, virtual reality, and industrial inspection.