2 code implementations • CVPR 2020 • Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, Xinyi Le
Unlike existing point cloud completion networks, which generate the overall shape of the point cloud from the incomplete point cloud and always change existing points and encounter noise and geometrical loss, PF-Net preserves the spatial arrangements of the incomplete point cloud and can figure out the detailed geometrical structure of the missing region(s) in the prediction.