SOURCE-LINKED INTELLIGENCE

3D Field Data Reduction with Adaptive Sample-Based Gaussian-Encoded Reconstruction

arXiv · AI, language, vision and robotics · article · Sep 10, 2026 · UTC

In scientific simulation, regular grids, unstructured meshes, and particle-based formats are chosen to represent field data for computational efficiency, geometry/adaptive flexibility, and following motion/deformation, respectively. Each of these field data formats is often handled through separate data-specific processing pipelines. We present a unified sample-based Gaussian encoding method that represents these data forms under a single fixed-budget formulation. The method initializes and refines Gaussian primitives directly from the input samples while preserving a prescribed primitive coun

Read original source ↗ Open in workspace

recordType

paper

region

Global