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We propose the Medial Skeletal Diagram, a novel skeletal representation that tackles the prevailing issues around skeleton sparsity and reconstruction accuracy in existing skeletal representations.
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Polygon mesh processing
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Rigmesh: automatic rigging for part-based shape modeling and deformation
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A skeleton-bridged deep learning approach for generating meshes of complex topologies from single rgb images. In Proceedings of the ieee/cvf conference on computer vision and pattern recognition . 4541–4550
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P2MAT-NET: Learning medial axis transform from sparse point clouds
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K. Pandey, J. A. Bærentzen, and K. Singh. 2022 · 2022
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Computing Medial Axis Transform with Feature Preservation via Restricted Power Diagram
N. Wang, B. Wang, W. Wang, and X. Guo. 2022a · 2022
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Restricted Delaunay Triangulation for Explicit Surface Reconstruction
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SurfaceVoronoi: Efficiently Computing Voronoi Diagrams Over Mesh Surfaces with Arbitrary Distance Solvers
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Multilevel Skeletonization Using Local Separators. In 39th International Symposium on Computational Geometry (SoCG 2023) . Schloss-Dagstuhl-Leibniz Zentrum für Informatik
J A. Bærentzen, R. E. Christensen, E. T. Gæde, and E. Rotenberg. 2023 · 2023
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Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 9099–9109
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Multi-Material Mesh-Based Surface Tracking with Implicit Topology Changes
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