XnYZip is introduced, an error-bounded lossy compressor based on provably optimal Truncated Octahedron quantization, combined with a locality-aware encoding pipeline using space-filling curves and run-length encoding, to develop a theory of point cloud compressibility for dense data.
You-Yuan Liu, Longtao Zhang, Ruoyu Li et al.· Proceedings of the VLDB Endo...· 0 citations
Evaluation on production-scale scientific datasets demonstrates that TZ achieves approximately 10 × higher compression ratios than state-of-the-art GPU compressors under the same error bound, while maintaining competitive, high-throughput performance.
Zhuoxun Yang, Ruoyu Li, A. Subrahmanya et al.· IEEE International Symposium...· 0 citations
The OPAL universal framework is the OPAL universal framework, an adaptive architecture that endows generic lossy compressors with on-demand retrieval capabilities, enabling flexible and progressive access across multiple spatial regions, resolutions, and precisions.
Longtao Zhang, Ruoyu Li, Zhuoxun Yang et al.· IEEE International Symposium...· 2 citations
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