SENSE: Satellite-based ENergy Synthesis for Sustainable Environment

In three linesSENSE is a generative diffusion-based framework that jointly synthesizes realistic urban satellite imagery and aligned building energy consumption and height maps. Tested on NYC, Boston, Lyon, and Busan, it generates annotated synthetic data using <20% labeled data, improving prediction performance by 10% IoU and reducing error by 3-11% NMBE.

Summary generated by Claude — human-verified