Lihua Hu

PA-GMAE: A Position-Assigned Graph Masked Autoencoder for Point Cloud Representation Learning

Masked autoencoder have demonstrated excellent performance in point cloud representation learning and received widespread attention. However, due to the unstructured nature of point clouds, existing methods struggle to effectively model both local geometric information and global topological feature