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Related Experiment Video

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Photorealistic Learned Landscapes for Augmented Reality
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LIVE-GS: LLM Powers Interactive VR Experience with Physics-Aware Gaussian Splatting.

Haotian Mao, Hangyu Zhou, Zhuoxiong Xu

    IEEE Transactions on Visualization and Computer Graphics
    |April 13, 2026
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    Summary

    LIVE-GS uses Large Language Models (LLMs) to rapidly create dynamic 3D Gaussian assets for virtual reality (VR). This system enables non-experts to generate realistic physics-based interactions in VR efficiently.

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    Area of Science:

    • Computer Graphics
    • Virtual Reality
    • Artificial Intelligence

    Background:

    • 3D Gaussian Splatting (3DGS) is a key technology for novel view synthesis and scene reconstruction.
    • Creating dynamic, physics-based 3D assets for virtual reality (VR) is currently complex and time-consuming.
    • Existing 3DGS-based VR systems face challenges in user experience and asset creation efficiency.

    Purpose of the Study:

    • To develop a VR system for rapid creation of dynamic Gaussian assets.
    • To enable non-experts to generate physics-based interactions in VR.
    • To integrate Large Language Models (LLMs) for intelligent asset creation.

    Main Methods:

    • User interviews to identify challenges in current GS-based VR systems.
    • Utilized GPT-4o to analyze object properties for realistic physics-based interactions.
    • Developed LIVE-GS, a VR system integrating LLMs for dynamic asset generation.
    • Validated parameter prediction speed (10 seconds) and interaction quality.

    Main Results:

    • LIVE-GS enables rapid (10-second) prediction of physical parameters for static Gaussian assets.
    • The system facilitates high-quality VR interactions aligned with real-world physics.
    • User studies confirmed system usability and satisfaction.
    • LLM integration achieved efficient physical scene creation and natural interactions.

    Conclusions:

    • LIVE-GS significantly reduces the expertise and time required for dynamic 3D asset creation in VR.
    • LLMs enhance scene understanding for generating realistic physics-based VR experiences.
    • The system empowers non-experts to create dynamic VR assets and interactions efficiently.