Kavli Affiliate: Jie Shan | First 5 Authors: Xiangxi Tian, Jie Shan, , , | Summary: Generating continuous environmental models from sparsely sampled data is a critical challenge in spatial modeling, particularly for topography. Traditional spatial interpolation methods often struggle with handling sparse measurements. To address this, we propose a Transformer-based Generative Model for Spatial […]
Continue.. T-GMSI: A transformer-based generative model for spatial interpolation under sparse measurements