Talks and presentations

Conference Presentation on Poly-GAN

June 05, 2014

Conference proceedings talk, International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2023), Online

This presentation introduces Poly-GAN, an innovative approach leveraging Deep Learning to enhance the regularization of building footprints extracted from OpenStreetMap data. Poly-GAN aims to streamline polygonal representations of buildings, optimizing them for digital mapping applications by minimizing storage space and bandwidth usage while preserving geographic accuracy.