3 papers
cs.CV2025
Hierarchical Attention Networks for Lossless Point Cloud Attribute Compression
Yueru Chen, Wei Zhang, Dingquan Li +2
In this paper, we propose a deep hierarchical attention context model for lossless attribute compression of point clouds, leveraging a multi-resolution spatial structure and residu…
eess.IV2024
Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression
Dingquan Li, Kede Ma, Jing Wang +1
The Geometry-based Point Cloud Compression (G-PCC) has been developed by the Moving Picture Experts Group to compress point clouds. In its lossy mode, the reconstructed point cloud…
cs.CV2020
Point Cloud Attribute Compression via Successive Subspace Graph Transform
Yueru Chen, Yiting Shao, Jing Wang +2
Inspired by the recently proposed successive subspace learning (SSL) principles, we develop a successive subspace graph transform (SSGT) to address point cloud attribute compressio…