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Efficient Visualization of Large-Scale Unstructured Grid Data through Importance-Based Hybrid Reduction
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DescriptionFor large-scale CFD/FEA grids, we propose importance-driven hybrid reduction—explicit decimation for low-importance and learning-based reduction for salient regions—achieving 3–8× size reduction with ≈99% accuracy and higher FPS.