Yunqi Lei

CO-NET: Classification-Oriented Point Cloud Sampling via Informative Feature Learning and Non-Overlapped Local Adjustment

Recent studies have proven the strength of task-oriented point cloud sampling methods over traditional non-learned ones. However, previous task-oriented samplers are not adequate to extract local details and spatial patterns of point clouds, limiting the quality of synthesized points. In this paper,…