TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes
Minghao Guo, Bohan Wang, Kaiming He, Wojciech Matusik
2025年份
8顶会引用
摘要
Lagrangian (TetSphere Splatting) Eulerian Ground Truth Reconstructed Shape Input Image Reconstructed Shape "A bear dressed in medieval armor" "A recliner chair" (a) (b) (c) (d) Figure 1: (a) Eulerian vs. Lagrangian geometry representations: Compared to Eulerian methods that rely on a fixed grid, TetSphere splatting, a Lagrangian method, uses a set of volumetric tetrahedral spheres that deform to represent the geometry. TetSphere splatting supports applications such as reconstruction, image-to-3D, and text-to-3D generation (b-d).
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引用它的顶会 Paper8
- Physically Compatible 3D Object Modeling from a Single ImageMinghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang 等NeurIPS 2024 · 被引用 49 次
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- Radiance Meshes for Volumetric ReconstructionAlexander Mai, Trevor Hedstrom, George Kopanas, Janne Kontkanen 等CVPR 2026 · 被引用 8 次
- Bézier Splatting for Fast and Differentiable Vector Graphics RenderingXi Liu, Chaoyi Zhou, Nanxuan Zhao, Siyu HuangNeurIPS 2025 · 被引用 2 次
- Benchmarking PhD-Level Coding in 3D Geometric Computer VisionWenyi Li, Renkai Luo, Yue Yu, Huan-ang Gao 等CVPR 2026 · 被引用 2 次
它引用的顶会 Paper41
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