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TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting.

Kaiyuan Tang, Kuangshi Ai, Jun Han

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    Summary
    This summary is machine-generated.

    TexGS-VolVis introduces a novel textured Gaussian splatting framework for volume visualization (VolVis). This method enhances style transfer flexibility and enables real-time, controllable editing of 3D volumetric data.

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    Area of Science:

    • Computer Graphics
    • Scientific Visualization

    Background:

    • Volume visualization (VolVis) extracts insights from 3D data using renderings.
    • Non-photorealistic rendering enhances clarity but has limitations in style transfer flexibility.
    • Existing methods struggle with complex rules and single-style transfer.

    Purpose of the Study:

    • To develop a flexible and controllable framework for volume visualization style transfer and editing.
    • To overcome limitations of conventional 3D Gaussian primitives in appearance and geometry coupling.
    • To enable arbitrary style transfer and real-time rendering for VolVis.

    Main Methods:

    • Representing VolVis scenes using differentiable Gaussian primitives with pretrained large models.
    • Introducing TexGS-VolVis, a textured Gaussian splatting framework using 2D Gaussian primitives with texture and shading attributes.
    • Developing image- and text-driven non-photorealistic scene editing and 2D-lift-3D segmentation for fine-grained control.

    Main Results:

    • TexGS-VolVis achieves higher-quality, geometry-consistent stylization and enhanced lighting control.
    • The framework enables arbitrary style transfer and real-time rendering.
    • Demonstrated superiority over existing methods in efficiency, visual quality, and editing flexibility.

    Conclusions:

    • TexGS-VolVis offers a significant advancement in volume visualization, providing superior stylization and editing capabilities.
    • The textured Gaussian splatting approach enhances control and visual fidelity.
    • This framework opens new possibilities for interactive and stylized exploration of 3D volumetric data.