arXiv:2507.13586cs.GRcs.CL2025-07中稿 · IEEE VIS 2025被引 14

用带纹理的高斯点实现可自由编辑的体积可视化,支持文本驱动风格转换。

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

  • 用2D高斯点扩展纹理与光照属性,分离几何与外观表示
  • 支持文本/图像驱动的局部精细编辑,实时渲染且视觉质量更高
  • 适合需要灵活风格化与交互编辑的科学可视化场景

体积可视化(VolVis)致力于通过生成具表现力的三维渲染图揭示复杂内部结构。现有方法多依赖预定义规则进行非真实感渲染,但风格单一且灵活性差。为此,我们提出TexGS-VolVis,采用可微分的2D高斯点并引入纹理与阴影属性,解耦几何与外观,实现更高质量、几何一致的风格化及更好的光照控制。为进一步提升可编辑性,开发了图像和文本驱动的非真实感场景编辑方法,结合2D-lift-3D分割实现细粒度局部编辑。在多个体积渲染场景中,该方法在效率、视觉质量和编辑灵活性上均优于现有方法。

原文摘要 · Abstract (English)

Advancements in volume visualization (VolVis) focus on extracting insights from 3D volumetric data by generating visually compelling renderings that reveal complex internal structures. Existing VolVis approaches have explored non-photorealistic rendering techniques to enhance the clarity, expressiveness, and informativeness of visual communication. While effective, these methods often rely on complex predefined rules and are limited to transferring a single style, restricting their flexibility. To overcome these limitations, we advocate the representation of VolVis scenes using differentiable Gaussian primitives combined with pretrained large models to enable arbitrary style transfer and real-time rendering. However, conventional 3D Gaussian primitives tightly couple geometry and appearance, leading to suboptimal stylization results. To address this, we introduce TexGS-VolVis, a textured Gaussian splatting framework for VolVis. TexGS-VolVis employs 2D Gaussian primitives, extending each Gaussian with additional texture and shading attributes, resulting in higher-quality, geometry-consistent stylization and enhanced lighting control during inference. Despite these improvements, achieving flexible and controllable scene editing remains challenging. To further enhance stylization, we develop image- and text-driven non-photorealistic scene editing tailored for TexGS-VolVis and 2D-lift-3D segmentation to enable partial editing with fine-grained control. We evaluate TexGS-VolVis both qualitatively and quantitatively across various volume rendering scenes, demonstrating its superiority over existing methods in terms of efficiency, visual quality, and editing flexibility.

体积可视化高斯泼溅风格迁移文本编辑

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