3D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions

arXiv:2404.04823v1 Announce Type: new
Abstract: 3D building reconstruction from monocular remote sensing images is an important and challenging research problem that has received increasing attention in recent years, owing to its low cost of data acquisition and availability for large-scale applications. However, existing methods rely on expensive 3D-annotated samples for fully-supervised training, restricting their application to large-scale cross-city scenarios. In this work, we propose MLS-BRN, a multi-level supervised building reconstruction network that can flexibly utilize training samples with different annotation …

arxiv building cs.cv images sensing type