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Application of 3D Gaussian Splatting for Cinematic Anatomy on Consumer Class Devices

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arxiv 2404.11285 v2 pith:AT4JXN2I submitted 2024-04-17 cs.GR

classification cs.GR
keywords anatomydataevencinematicdevicesgaussianimagesinteractive
verification ladder T0 review T1 audit T2 compute T3 formal
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Interactive photorealistic rendering of 3D anatomy is used in medical education to explain the structure of the human body. It is currently restricted to frontal teaching scenarios, where even with a powerful GPU and high-speed access to a large storage device where the data set is hosted, interactive demonstrations can hardly be achieved. We present the use of novel view synthesis via compressed 3D Gaussian Splatting (3DGS) to overcome this restriction, and to even enable students to perform cinematic anatomy on lightweight and mobile devices. Our proposed pipeline first finds a set of camera poses that captures all potentially seen structures in the data. High-quality images are then generated with path tracing and converted into a compact 3DGS representation, consuming < 70 MB even for data sets of multiple GBs. This allows for real-time photorealistic novel view synthesis that recovers structures up to the voxel resolution and is almost indistinguishable from the path-traced images

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting

    cs.HC 2025-07 conditional novelty 6.0 of 10

    NLI4VolVis integrates multi-agent large language models, editable 3D Gaussian splatting, and CLIP-based querying so users can explore, query, and edit volume visualizations through natural language.

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