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TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes

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arxiv 2405.20283 v4 pith:5VECEJ3U submitted 2024-05-30 cs.CV cs.GR

classification cs.CVcs.GR
keywords splattingtetspheregeometricgeometryhigh-qualitylagrangianmeshmeshes
verification ladder T0 review T1 audit T2 compute T3 formal
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We introduce TetSphere Splatting, a Lagrangian geometry representation designed for high-quality 3D shape modeling. TetSphere splatting leverages an underused yet powerful geometric primitive -- volumetric tetrahedral meshes. It represents 3D shapes by deforming a collection of tetrahedral spheres, with geometric regularizations and constraints that effectively resolve common mesh issues such as irregular triangles, non-manifoldness, and floating artifacts. Experimental results on multi-view and single-view reconstruction highlight TetSphere splatting's superior mesh quality while maintaining competitive reconstruction accuracy compared to state-of-the-art methods. Additionally, TetSphere splatting demonstrates versatility by seamlessly integrating into generative modeling tasks, such as image-to-3D and text-to-3D generation.

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Cited by 2 Pith papers

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

  1. Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation

    cs.CV 2026-07 conditional novelty 6.0 of 10

    Hallo4D uses vision-language models to detect and correct spatial and temporal mistakes in AI-generated 3D and 4D content, improving consistency without retraining the base generators.

  2. Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting

    cs.CV 2024-11 conditional novelty 6.0 of 10

    A diffusion-inpainting pipeline generates interactive 3D scenes by iteratively adding furniture and small objects to rendered views, then back-projecting them to 3D with rescaled depth.

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