Using Generative AI to Procedurally Populate Assets in an ASCII Level
Year: 2025
Type: article
Abstract: This study focuses on how to make use of generative AI in game level development by procedurally populating assets at a code-based level in a video game. The researcher aims to enhance developers’ efficiency in aesthetic milestone by adapting a pipeline in which generative AI handles decoration process that has less impact on gameplay. Consequently, the researcher creates a pipeline outlining the best practices for conducting the pipeline using generative AI. The researcher constructed a game level in Left 4 Dead 2 to explore the effectiveness of this pipeline. Testers play the level and provided feedback regarding their experiences, especially on decoration quality. The researcher analyzed this data to confirm or deny whether the pipeline enhances efficiency and at the same time maintains the decoration quality of an average human-designed level.
Author: Jiang, Tianxing
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7062721708
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