Abstract
Investigators discuss new findings in artificial intelligence. According to news reporting from Zagreb, Croatia, by Ne wsRx journalists, research stated, "Procedural modeling offers significant advan tages over traditional methods of geovisualizing 3D building models, particularl y in its use of scripts or machine language for model description. This approach is highly suitable for computer processing and allows for the rapid rendering o f entire building models and cities, especially when the buildings are not highl y diverse, thus fully leveraging the strengths of procedural modeling." Funders for this research include Croatian Government And The European Union. The news correspondents obtained a quote from the research from University of Za greb: "The first hypothesis is that buildings in the real world are mostly diffe rent and they should still be able to be displayed through procedural modeling p rocedures, and the second hypothesis is that this can be achieved in several way s. The first hypothesis suggests that real-world buildings, despite their divers ity, can still be effectively represented through procedural modeling. The secon d hypothesis explores various methods to achieve this representation. The first approach involves recognizing the basic characteristics of a building from photo graphs and creating a model using machine learning. The second approach utilizes artificial intelligence (AI) to generate detailed building models based on comp rehensive input data. A script is generated for each building, making reverse pr ocedural modeling in combination with AI an intriguing field of study, which is explored in this research. To validate this method, we compare AI-generated buil ding models with manually derived models created through traditional procedural modeling techniques. The research demonstrates that integrating AI and machine l earning techniques with procedural modeling significantly improves the efficienc y and accuracy of generating 3D building models."
NETL
NSTL