Choosing the Right Engine in the Virtual Reality Landscape
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912541583605760 |
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| author | Berrezueta-Guzman, Santiago Wagner, Stefan |
| author_facet | Berrezueta-Guzman, Santiago Wagner, Stefan |
| contents | Virtual reality (VR) development relies on game engines to provide real-time rendering, physics simulation, and interaction systems. Among the most widely used game engines, Unreal Engine and Unity dominate the industry, offering distinct advantages in graphics rendering, performance optimization, usability, resource requirements, and scalability. This study presents a comprehensive comparative analysis of both engines, evaluating their capabilities and trade-offs through empirical assessments and real-world case studies of large-scale VR projects. The findings highlight key factors such as rendering fidelity, computational efficiency, cross-platform compatibility, and development workflows. These provide practical insights for selecting the most suitable engine based on project-specific needs. Furthermore, emerging trends in artificial intelligence (AI)-driven enhancements, including Deep Learning Super Sampling (DLSS) and large language models (LLMs), are explored to assess their impact on VR development workflows. By aligning engine capabilities with technical and creative requirements, developers can overcome performance bottlenecks, enhance immersion, and streamline optimization techniques.
This study serves as a valuable resource for VR developers, researchers, and industry professionals, offering data-driven recommendations to navigate the evolving landscape of VR technology. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_13116 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Choosing the Right Engine in the Virtual Reality Landscape Berrezueta-Guzman, Santiago Wagner, Stefan Human-Computer Interaction Virtual reality (VR) development relies on game engines to provide real-time rendering, physics simulation, and interaction systems. Among the most widely used game engines, Unreal Engine and Unity dominate the industry, offering distinct advantages in graphics rendering, performance optimization, usability, resource requirements, and scalability. This study presents a comprehensive comparative analysis of both engines, evaluating their capabilities and trade-offs through empirical assessments and real-world case studies of large-scale VR projects. The findings highlight key factors such as rendering fidelity, computational efficiency, cross-platform compatibility, and development workflows. These provide practical insights for selecting the most suitable engine based on project-specific needs. Furthermore, emerging trends in artificial intelligence (AI)-driven enhancements, including Deep Learning Super Sampling (DLSS) and large language models (LLMs), are explored to assess their impact on VR development workflows. By aligning engine capabilities with technical and creative requirements, developers can overcome performance bottlenecks, enhance immersion, and streamline optimization techniques. This study serves as a valuable resource for VR developers, researchers, and industry professionals, offering data-driven recommendations to navigate the evolving landscape of VR technology. |
| title | Choosing the Right Engine in the Virtual Reality Landscape |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2508.13116 |