Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression

The authors propose PoLoPCAC, an efficient and generic lossless point cloud attribute compression method that achieves high compression efficiency and strong generalizability simultaneously by formulating lossless attribute compression as the task of inferring explicit distributions of attributes from group-wise autoregressive priors.