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Autores principales: Liu, Xiaoyi, Tang, Hao
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2504.18040
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author Liu, Xiaoyi
Tang, Hao
author_facet Liu, Xiaoyi
Tang, Hao
contents We propose Cabbage, a differential growth framework to model buckling behavior in 3D open surfaces found in nature-like the curling of flower petals. Cabbage creates high-quality triangular meshes free of self-intersection. Cabbage-Shell is driven by edge subdivision which differentially increases discretization resolution. Shell forces expands the surface, generating buckling over time. Feature-aware smoothing and remeshing ensures mesh quality. Corrective collision effectively prevents self-collision even in tight spaces. We additionally provide Cabbage-Collision, and approximate alternative, followed by CAD-ready surface generation. Cabbage is the first open-source effort with this calibre and robustness, outperforming SOTA methods in its morphological expressiveness, mesh quality, and stably generates large, complex patterns over hundreds of simulation steps. It is a source not only of computational modeling, digital fabrication, education, but also high-quality, annotated data for geometry processing and shape analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2504_18040
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Cabbage: A Differential Growth Framework for Open Surfaces
Liu, Xiaoyi
Tang, Hao
Computer Vision and Pattern Recognition
We propose Cabbage, a differential growth framework to model buckling behavior in 3D open surfaces found in nature-like the curling of flower petals. Cabbage creates high-quality triangular meshes free of self-intersection. Cabbage-Shell is driven by edge subdivision which differentially increases discretization resolution. Shell forces expands the surface, generating buckling over time. Feature-aware smoothing and remeshing ensures mesh quality. Corrective collision effectively prevents self-collision even in tight spaces. We additionally provide Cabbage-Collision, and approximate alternative, followed by CAD-ready surface generation. Cabbage is the first open-source effort with this calibre and robustness, outperforming SOTA methods in its morphological expressiveness, mesh quality, and stably generates large, complex patterns over hundreds of simulation steps. It is a source not only of computational modeling, digital fabrication, education, but also high-quality, annotated data for geometry processing and shape analysis.
title Cabbage: A Differential Growth Framework for Open Surfaces
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2504.18040