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

Fuente: arXiv
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Main Authors: Guo, Minghao, Wang, Bohan, He, Kaiming, Matusik, Wojciech
Format: Preprint
Published: 2024
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author Guo, Minghao
Wang, Bohan
He, Kaiming
Matusik, Wojciech
author_facet Guo, Minghao
Wang, Bohan
He, Kaiming
Matusik, Wojciech
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2405_20283
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes
Guo, Minghao
Wang, Bohan
He, Kaiming
Matusik, Wojciech
Computer Vision and Pattern Recognition
Graphics
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.
title TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes
topic Computer Vision and Pattern Recognition
Graphics
url https://arxiv.org/abs/2405.20283