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Photorealistic Learned Landscapes for Augmented Reality
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GenTouchVR: Generating a Touchable Virtual Reality Environment from a Single Image.

Jaejun Park, Soyeon Nam, Jeongwoo Kim

    IEEE Transactions on Visualization and Computer Graphics
    |April 7, 2026
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    Summary
    This summary is machine-generated.

    This study introduces an automated pipeline that generates interactive virtual reality (VR) scenes with kinesthetic feedback from a single image. This innovation significantly reduces the effort required for creating immersive VR content.

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    Area of Science:

    • Computer Vision
    • Human-Computer Interaction
    • Virtual Reality

    Background:

    • Creating interactive virtual reality (VR) content is labor-intensive due to extensive 3D modeling requirements.
    • Scalable production of immersive VR experiences remains a significant challenge.

    Purpose of the Study:

    • To develop an automated computational pipeline for generating interactive 3D VR scenes with kinesthetic feedback from a single image.
    • To lower the barriers for creating haptically enriched VR content.

    Main Methods:

    • Leveraging a Large Language Model (LLM) to detect objects and infer haptic properties from visual and textual cues in an image.
    • Synthesizing 3D models and optimizing haptic properties for perceptual distinguishability.
    • Combining synthesized elements into a complete interactive VR environment.

    Main Results:

    • Successfully converted single images into interactive 3D scenes with plausible kinesthetic feedback.
    • User studies confirmed compelling visuo-haptic experiences in generated VR scenes.
    • Demonstrated a novel system for automated VR scene generation with force feedback.

    Conclusions:

    • The presented pipeline offers a scalable solution for multisensory world generation in VR.
    • This method significantly reduces the manual effort needed for VR content creation.
    • Paves the way for more accessible and immersive haptic VR experiences.