Izvorni znanstveni članak

https://doi.org/10.31803/tg-20240704100407

Accelerating Game Level Design with Machine Learning: A Unity Module for Procedural Kitchen Generation

Petar Pejić orcid.org/0000-0003-4155-8038 ; Faculty of Information Technology, Belgrade Metropolitan University, Tadeuša Košćuška 63, 11158 Belgrade, Serbia *
Jelena Pejić ; Faculty of Sciences and Mathematics, University of Niš, Višegradska 33, 18106 Niš, Serbia

* Dopisni autor.

Sažetak

The video game industry faces significant challenges in content creation, with AAA games requiring extensive time and resources. This research addresses these challenges through the development of a Unity module for automatic 3D kitchen model generation using a Machine Learning-based Procedural Kitchen Generation (PKG) model. The module significantly reduces the time needed for game-level design, achieving designs over five times faster than traditional methods. A comparative study shows that the module produces results comparable to industry-standard tools in terms of user preference. This Unity module offers promising potential for commercial use, streamlining the design process and enhancing efficiency in game development.

Ključne riječi

3D Kitchen Models; Game Level Design; Machine Learning; Procedural Content Generation; Unity Module

Hrčak ID:

346371

URI

https://hrcak.srce.hr/346371

Datum izdavanja:

15.6.2026.

Posjeta: 182 *