arXiv cs.CV
· Papers
Inpainting U-Net for seamless pedestrian-level wind prediction across urban morphologies
arXiv:2607.02560v1 Announce Type: new Abstract: Pedestrian-level wind prediction is essential for urban design and wind-comfort assessment, but high-fidelity simulations such as LES remain computationally expensive for rapid evaluation. This study develops a two-stage U-Net framework for efficient prediction of time-av