5 citations · 11 across the 3 of their papers we have counts for
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cs.CV2019★ 4 cited
PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
Fenggen Yu, Kun Liu, Yan Zhang +2
Deep learning approaches to 3D shape segmentation are typically formulated as a multi-class labeling problem. Existing models are trained for a fixed set of labels, which greatly l…
cs.CV2017★ 5 cited
3D Shape Segmentation via Shape Fully Convolutional Networks
Pengyu Wang, Yuan Gan, Panpan Shui +4
We desgin a novel fully convolutional network architecture for shapes, denoted by Shape Fully Convolutional Networks (SFCN). 3D shapes are represented as graph structures in the SF…