1 code implementation • 21 Apr 2024 • Kang You, Kai Liu, Li Yu, Pan Gao, Dandan Ding
Despite considerable progress being achieved in point cloud geometry compression, there still remains a challenge in effectively compressing large-scale scenes with sparse surfaces.
2 code implementations • 10 Apr 2024 • Kang You, Pan Gao, Zhan Ma
In this paper, we propose PoLoPCAC, an efficient and generic lossless PCAC method that achieves high compression efficiency and strong generalizability simultaneously.
1 code implementation • 4 Aug 2022 • Kang You, Pan Gao, Qing Li
Point cloud is a crucial representation of 3D contents, which has been widely used in many areas such as virtual reality, mixed reality, autonomous driving, etc.
1 code implementation • 18 Oct 2021 • Kang You, Pan Gao
Unlike existing point cloud compression networks, which apply feature extraction and reconstruction on the entire point cloud, we divide the point cloud into patches and compress each patch independently.