mlsanityData to 14 Oct 2026

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

arXiv 2507.13586 ↗First posted 18 Jul 2025cs.GR cs.CL cs.CVcited by 9

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Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 45 of its 72 references that are in the map. First posted on arXiv 18 Jul 2025.

Builds on

45 of 72 references.

References · 45

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33 more
  1. 2023GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splattingcited by 335
  2. 2023Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesiscited by 239
  3. 2023Segment Any 3D Gaussianscited by 161
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  8. 20243DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splattingcited by 88
  9. 2024StyleGaussian: Instant 3D Style Transfer with Gaussian Splattingcited by 79
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  12. 2024Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editingcited by 47
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  15. 2017A Generative Model for Volume Renderingcited by 31
  16. 2024SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decompositioncited by 30
  17. 2024GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modelingcited by 30
  18. 2024BillBoard Splatting (BBSplat): Learnable Textured Primitives for Novel View Synthesiscited by 25
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  21. 2025NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splattingcited by 20
  22. 2024StyleSplat: 3D Object Style Transfer with Gaussian Splattingcited by 18
  23. 2025iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splattingcited by 18
  24. 2023ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasetscited by 17
  25. 2024Application of 3D Gaussian Splatting for Cinematic Anatomy on Consumer Class Devicescited by 17
  26. 2024HDGS: Textured 2D Gaussian Splatting for Enhanced Scene Renderingcited by 16
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  28. 2024StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualizationcited by 9
  29. 2025ViSNeRF: Efficient Multidimensional Neural Radiance Field Representation for Visualization Synthesis of Dynamic Volumetric Scenescited by 9
  30. 2024ParamsDrag: Interactive Parameter Space Exploration via Image-Space Draggingcited by 6
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  33. 2022Parallel Compositing of Volumetric Depth Images for Interactive Visualization of Distributed Volumes at High Frame Ratescited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 8.

9 papers.