TeRFS models dynamic radio fields via anisotropic spherical Gaussians bound to analytical temporal envelopes that enable explicit multipath birth-and-death, delivering 11.5% lower MSE and 6.9x faster training than baselines.
Neural Representation for Wireless Radiation Field Reconstruction: A 3D Gaussian Splatting Approach
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TeRFS: Temporal-Evolving Radio Field Synthesis
TeRFS models dynamic radio fields via anisotropic spherical Gaussians bound to analytical temporal envelopes that enable explicit multipath birth-and-death, delivering 11.5% lower MSE and 6.9x faster training than baselines.