Scribble based 3D shape segmentation via weakly-supervised learning.

IEEE Transactions on Visualization and Computer Graphics(2020)

引用 28|浏览157
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摘要
Shape segmentation is a fundamental problem in shape analysis. Previous research shows that prior knowledge helps to improve the segmentation accuracy and quality. However, completely labeling each 3D shape in a large training data set requires a heavy manual workload. In this paper, we propose a novel weakly-supervised algorithm for segmenting 3D shapes using deep learning. Our method jointly pro...
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关键词
Shape,Three-dimensional displays,Training,Labeling,Training data,Solid modeling,Deep learning
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