Fourier Decomposition for Explicit Representation of 3D Point Cloud Attributes

ArXi:2503.10055v2 Announce Type: replace While 3D point clouds are widely used in vision applications, their irregular and sparse nature make them challenging to handle. In response, numerous encoding approaches have been proposed to capture the rich semantic information of point clouds. Yet, a critical limitation persists: a lack of consideration for colored point clouds, which serve as expressive 3D representations encompassing both color and geometry.