3D Shape Segmentation via Shape Fully Convolutional Networks

28 Feb 2017Pengyu WangYuan GanPanpan ShuiFenggen YuYan ZhangSongle ChenZhengxing Sun

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 SFCN architecture, based on novel graph convolution and pooling operations, which are similar to convolution and pooling operations used on images... (read more)

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