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Author

Kai Zhao

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Open access Jul 2026

Error-Bounded Point Cloud Compression Using Truncated Octahedron Quantization

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. · 0 citations
Book Jul 2026

Bridging Information Theory and Practice for Scientific Lossy Compression

This paper develops a novel framework that characterizes compressibility limits for scientific datasets under realistic tiling constraints, and is the first framework to rigorously characterize lossy compressibility limits for scientific datasets and compressor, moving beyond classical asymptotic 1D source models.

Sujata Sinha, Sheng Di, Vishwas Rao et al. · 0 citations

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