Author

Kai-Yuan Tang

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Jul 2026

EVOLVE: Efficient Learned Volume Compression with Variable-Rate Encoding on a Cross-Domain Database

Experiments on multiple unseen scientific simulation datasets demonstrate that EVOLVE achieves substantially higher CRs than conventional compressors at comparable reconstruction quality, while delivering compression speeds that are orders of magnitude faster than INR-based methods, highlighting its promise as a strong alternative for compressing scientific data.

Kai-Yuan Tang, Maizhe Yang, Chaoli Wang · arXiv.org · 1 citation

Jul 2026

ECoNGS: Efficient Compressive Neural Gaussian Splats for Volume Visualization

This work systematically investigates Gaussian initialization strategies and proposes a simple yet effective scheme tailored for VolVis scenes, improving reconstruction accuracy and accelerating convergence, and evaluates ECoNGS qualitatively and quantitatively across various univariate and multivariate VolVis scenes.

Kai-Yuan Tang, Chaoli Wang · arXiv.org · 5 citations