AI RESEARCH
FLUIDSPLAT: Reconstructing Physical Fields from Sparse Sensors via Gaussian Primitives
arXiv CS.AI
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ArXi:2605.18866v1 Announce Type: cross Reconstructing continuous flow fields from sparse surface-mounted sensors is central to aerodynamic design, flow control, and digital-twin instrumentation. Existing neural methods for this task typically encode sensor readings into implicit latent codes with little spatial interpretability and limited formal guidance on how representational capacity should scale with observation count. Inspired by 3D Gaussian Splatting, we