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

Paper Details

Authors: Pejić P.; Pejić J.

DOI: 10.31803/tg-20240704100407

Journal: Tehnicki Glasnik

Year: 2026

Publisher: University North

Document Type: Article

Open Access: All Open Access; Gold Open Access; Green Open Access

Cited by: 0

Abstract

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. © 2026 University North. All rights reserved.

Keywords

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

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