Paving the Way for Point Cloud Video Representation Learning Using A PDE Model 事件

Paving the Way for Point Cloud Video Representation Learning Using A PDE Model arXiv:2606.01604v1 Announce Type: new Abstract: Investigating spatial-temporal correlations, specifically how spatial points vary over time, is crucial for understanding point cloud videos. Traditional methods, particularly flow-based techniques, struggle with these correlations due to the unordered spatial arrangement of sequential point cloud data. To address this challenge, we propose a novel approach that regular