2 papers
cs.CV2026
Transform-Aligned Learned Features for Lossy Point Cloud Attribute Compression
Yueru Chen, Pengpeng Yu, Dingquan Li +3
Transform-based methods provide an effective framework for point cloud attribute compression by representing attributes as transform coefficients. Introducing learned spatial conte…
eess.IV2023
Lightweight super resolution network for point cloud geometry compression
Wei Zhang, Dingquan Li, Ge Li +1
This paper presents an approach for compressing point cloud geometry by leveraging a lightweight super-resolution network. The proposed method involves decomposing a point cloud in…