2 papers
eess.IV2025
SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network
Ziming Nie, Qiao Wu, Chenlei Lv +4
Point cloud upsampling aims to generate dense and uniformly distributed point sets from sparse point clouds. Existing point cloud upsampling methods typically approach the task as…
cs.CV2024
Deep Learning for 3D Point Cloud Enhancement: A Survey
Siwen Quan, Junhao Yu, Ziming Nie +4
Point cloud data now are popular data representations in a number of three-dimensional (3D) vision research realms. However, due to the limited performance of sensors and sensing n…