FLUIDSPLAT: Reconstructing Physical Fields from Sparse Sensors via Gaussian Primitives 事件

FLUIDSPLAT: Reconstructing Physical Fields from Sparse Sensors via Gaussian Primitives arXiv:2605.18866v2 Announce Type: replace-cross Abstract: 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 sh