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Scene Modeling in Game Development Based on Generative Adversarial Networks
- 1 College of mathematics and informatics, South China Agricultural University, Guangzhou, China
* Author to whom correspondence should be addressed.
Abstract
Due to booming advance on generative models, people have great interest on designing model structure to produce wonderful pictures, or even 3d shapes. The motivation of this work is that the 3d modeling manufacturing in game development is still challenging and time-consuming, and 3d shape produced from generative models may be powerful tools for the problem. The work tried to build game scenes, such as a city and a cave, the typical scene that requires many random but similar objects. This paper aims to explore a complete workflow for applying the GANs to the game development. The structure of the paper is introducing the background of the game development and the progress of the generative model, giving interpretation about the principle of Generative Adversarial Networks, and propose the process on how to utilize it to improve the productivity in developing game scene. Finally, this work found that it could considerably reduce the repetitive work on making massive and similar objects.
Keywords
Scene modeling, game development, generative adversarial networks.
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Cite this article
Liu,H. (2024). Scene Modeling in Game Development Based on Generative Adversarial Networks. Applied and Computational Engineering,110,36-41.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of CONF-MLA 2024 Workshop: Securing the Future: Empowering Cyber Defense with Machine Learning and Deep Learning
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