Author
Abstract
This article examines the integration of generative artificial intelligence (GAI) integration in real-time 3D texture rendering for modern gaming applications, presenting theoretical frameworks and practical implementations. Through a comprehensive analysis of current implementations across multiple game development platforms, the article demonstrates how GAI algorithms can dynamically generate and modify high-fidelity textures during gameplay, resulting in a 47% reduction in manual texture creation time and a 32% improvement in runtime performance compared to traditional methods. The article employs a mixed-methods approach, combining quantitative performance metrics with a qualitative assessment of visual quality and player immersion across 150 procedurally generated environments. The article findings indicate that GAI-driven texture rendering streamlines the development pipeline and enables advanced features such as context-aware texture adaptation and dynamic environmental response systems. Furthermore, the results suggest that this technology significantly enhances player immersion, with 85% of test subjects reporting improved visual consistency and environmental reactivity. This article contributes to the growing body of knowledge in real-time rendering optimization. It provides a foundation for future developments in automated game asset generation while also addressing critical challenges in processing overhead and quality consistency management.
Suggested Citation
Avtar Singh, 2024.
"Real-Time Generative AI in Game Texture Rendering : A Systematic Analysis of Visual Enhancement Technologies,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 10(6), pages 775-784, November.
Handle:
RePEc:jbh:ijsrcs:v10:y2024:i6:id:470
DOI: 10.32628/CSEIT241061112
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT241061112
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