Personalized 3D Scene Generation with Spatially Grounded Diffusion Models for Immersive VR Content Creation

Authors

  • Finn Norris Department of Computer Science, University of North Texas, Denton, TX, USA.
  • Manoj Menon Department of Computer Science, Colorado State University, Fort Collins, CO, USA.
  • Sagar M. Saini School of Computing, Clemson University, Clemson, SC, USA.
  • Suraj Jain Department of Computer Science, George Mason University, Fairfax, VA, USA.

Keywords:

Personalized 3D Scene Generation, Diffusion Models, Spatial Grounding, Virtual Reality, Immersive Content Creation, Socio-technical Systems

Abstract

The emergence of diffusion models has revolutionized generative visual content creation, yet their application to personalized three-dimensional scene generation for immersive virtual reality environments remains fraught with systemic challenges. This paper examines the architecture and deployment of spatially grounded diffusion models designed to produce customized 3D scenes that respect geometric constraints and user-specific semantic preferences. We argue that achieving spatial grounding necessitates a tight coupling between text-to-image diffusion priors and volumetric scene representations, a coupling that introduces trade-offs in model expressiveness, computational efficiency, and controllability. The discussion extends beyond algorithmic design to consider the socio-technical infrastructure required for scalable VR content generation, including data governance, model robustness against distributional shifts, fairness in user-adaptive outputs, and the sustainability of large-scale training pipelines. By analyzing recent advances in grounding mechanisms and scene generation pipelines, we highlight the structural tensions between personalization fidelity and system generalization. The paper further explores policy implications surrounding intellectual property, algorithmic bias, and the environmental cost of high-resolution 3D generation. We conclude by outlining a research agenda that prioritizes transparent evaluation frameworks, equitable access to generative tools, and interdisciplinary governance models for immersive content ecosystems.

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Published

2026-05-12

How to Cite

Finn Norris, Manoj Menon, Sagar M. Saini, & Suraj Jain. (2026). Personalized 3D Scene Generation with Spatially Grounded Diffusion Models for Immersive VR Content Creation. Computer Science and Engineering Transactions, 4(1). Retrieved from https://csetx.org/index.php/cset/article/view/134

Issue

Vol. 4 No. 1 (2026): Computer Science and Engineering Transactions

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Articles

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