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    Area of Science:

    • Computer Graphics
    • Human-Computer Interaction
    • Virtual Reality

    Background:

    • Virtual reality (VR) experiences often lack real-world context, potentially hindering user presence.
    • Generating immersive and interactive VR scenes that respect physical constraints is challenging.

    Purpose of the Study:

    • To develop an automated system for generating immersive and interactive VR scenes.
    • To ensure virtual reality experiences are safe by accounting for real-world obstacles.
    • To enhance user presence by providing context-consistent virtual content.

    Main Methods:

    • Utilizing 3D scans to identify object positions, bounding boxes, and interactive planes.
    • Employing learned object association relations and layout patterns from indoor scene data.
    • Framing virtual object replacement as a combinatorial optimization problem considering geometric and contextual consistency.

    Main Results:

    • The system successfully generates plausible interactive virtual scenes that closely mirror real environments.
    • Generated scenes maintain a high degree of contextual consistency with real-world constraints.
    • User presence is effectively preserved within the generated virtual reality experiences.

    Conclusions:

    • The proposed system automates the creation of realistic and interactive VR environments.
    • Integrating real-world geometric constraints enhances the immersiveness and safety of VR experiences.
    • The approach effectively balances geometric accuracy and contextual relevance for improved user presence.