3D Point Cloud Interpolation

Interpolating 3D point clouds is a fundamental problem in 3D computer vision, aiming to convert a low-temporal-resolution point cloud sequence into a high-temporal-resolution smooth point cloud sequence. This technique generates new point cloud data between existing frames, enhancing the accuracy and fluidity of dynamic scene reconstruction. It is widely applied in fields such as autonomous driving, virtual reality, and 3D animation.