GRaF sim — Simulated RF Spectrum Dataset Simulated wireless channel spectra for 18 indoor scenes, released with the CVPR 2026 paper "Generalizable Radio Frequency Radiance Fields for Spatial Spectrum Synthesis" by Kang Yang, Yuning Chen, and Wan Du. 📄 Paper: arXiv:2502.05708 · 💻 Code: github.com/kangyang73/GRaF · 🤖 Models: kyang73/GRaF pretrained Used to train and evaluate GRaF , a generalizable radio field model. Each scene is modeled as a box room with ITU material walls and furniture primitives. For every transmitter position, Sionna ray tracing computes the channel response at an 8 × 8 receiver array, and conventional beamforming over a 360° × 90° azimuth–elevation grid produces the final spatial spectrum image. Scenes Each category contains six scene variants with increasing furniture/clutter. Category Room Room size (m) Scenes A Conference Room 8.0 × 6.0 × 3.0 D2 – D7 B Classroom 10.0 × 7.0 × 3.0 D8 – D13 C Bedroom 5.0 × 4.0 × 2.8 D14 – D19 Per scene layout Totals: 18 scenes × 5 340 samples ≈ 96 K spectrum images, ~785 MB. Download Or via CLI: Citation If you use this dataset, please cite: License Released under the BSD 3 Clause License. Copyright (…
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