Point Cloud Super Resolution

Point cloud super-resolution is a key issue in the field of computer vision, aiming to generate high-resolution point clouds with rich details by inputting low-resolution point clouds, thereby enhancing the accuracy and quality of 3D reconstruction and 3D data understanding. This technique is widely applied in areas such as autonomous driving, virtual reality, and medical imaging.