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Related Experiment Video

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Photorealistic Learned Landscapes for Augmented Reality
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ImmerseGen: Agent-Guided Immersive World Generation with Alpha-Textured Proxies.

Jinyan Yuan, Bangbang Yang, Keke Wang

    IEEE Transactions on Visualization and Computer Graphics
    |March 31, 2026
    PubMed
    Summary

    ImmerseGen automates virtual reality (VR) scene creation using an agent-guided framework. This approach generates compact, photorealistic worlds efficiently for real-time mobile VR applications.

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    Area of Science:

    • Computer Graphics
    • Virtual Reality
    • Artificial Intelligence

    Background:

    • Automating immersive virtual reality (VR) scene creation is a significant challenge.
    • Current methods often use complex geometry, leading to inefficient pipelines or reduced realism.
    • There is a need for efficient and photorealistic VR world generation techniques.

    Purpose of the Study:

    • Introduce ImmerseGen, a novel agent-guided framework for compact and photorealistic VR world generation.
    • Decouple realism from exhaustive geometric modeling for improved efficiency.
    • Enable real-time rendering on mobile VR headsets.

    Main Methods:

    • Represent scenes as hierarchical compositions of lightweight geometric proxies with synthesized RGBA textures.
    • Utilize terrain-conditioned texturing for base world generation and context-aware texturing for scenery.
    • Employ vision-language model (VLM)-based agents for semantic analysis, asset placement, and multimodal enhancements (visual dynamics, ambient sound).

    Main Results:

    • ImmerseGen achieves superior photorealism and spatial coherence compared to existing methods.
    • The framework demonstrates enhanced rendering efficiency, suitable for real-time mobile VR.
    • Generated worlds are diverse and visually coherent.

    Conclusions:

    • ImmerseGen offers an efficient and effective solution for automated VR scene creation.
    • The agent-guided framework successfully balances realism and computational efficiency.
    • This approach advances the development of immersive and accessible VR experiences.