AI RESEARCH
PropSplat: Map-Free RF Field Reconstruction via 3D Gaussian Propagation Splatting
arXiv CS.LG
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ArXi:2605.08035v1 Announce Type: cross Building a site-specific propagation model typically requires either ray-tracing over detailed 3D maps or dense measurement campaigns. Both approaches are expensive and often infeasible for rapid deployments where geographic data is unavailable or outdated. We present PropSplat, a map-free propagation modeling method that reconstructs radio frequency (RF) fields using 3D anisotropic Gaussian primitives. Each Gaussian encodes a scalar path loss offset relative to an explicit baseline path loss model with a learnable path loss exponent.