Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

The generation of 3D models depicting cities in the past holds great potential for documentation and educational purposes. However, it is often hindered by incomplete historical data and the specialized expertise required. To address these challenges, we propose a framework for historical city recon...

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Bibliographic Details
Main Authors: Beatrice Vaienti, Rémi Petitpierre, Isabella di Lenardo, Frédéric Kaplan
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/13/3352