Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes

21 Sep 2018Peng-Shuai WangChun-Yu SunYang LiuXin Tong

We present an Adaptive Octree-based Convolutional Neural Network (Adaptive O-CNN) for efficient 3D shape encoding and decoding. Different from volumetric-based or octree-based CNN methods that represent a 3D shape with voxels in the same resolution, our method represents a 3D shape adaptively with octants at different levels and models the 3D shape within each octant with a planar patch... (read more)

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