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Author

Xin Liang

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FeatureZ : A General Framework for Feature-Preserving Compression via Pointwise Bounds and Star Classification

This paper introduces FeatureZ, a lossy compression framework for structured volumetric scalar fields that can preserve a wide class of geometric and topological features and demonstrates that FeatureZ preserves diverse features during compression with minimal overhead.

Nathaniel Gorski, Xin Liang, Han-Qi Guo et al. · 0 citations

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