ChirikjianLab/Marching-Primitives

[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function

MATLABPythoncomputer-visioncomputer-graphicscomputational-geometrysegmentationbayesiansigned-distance-fieldmarching-cubessdfsigned-distance-functionscvprscene-understanding3d-perceptioncvpr2023shape-abstraction
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Marching-Primitives: Shape Abstraction from Signed Distance Function Project|Paper|Supplementary|Arxiv|3D-Demos|Data This repo provides the source code for the CVPR2023 paper: Marching-Primitives: Shape Abstraction from Signed Distance Function Weixiao Liu1,2, Yuwei Wu2, Sipu Ruan2, Gregory S. Chirikjian2 1 National University of Singapore, 2 Johns Hopkins University Citation If you find this repo useful, please give us a star and cite: @Inproceedings{Liu2023CVPR, title = {Marching-Primitives:...
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