OctNet: Learning Deep 3D Representations at High Resolutions

CVPR 2017 Gernot RieglerAli Osman UlusoyAndreas Geiger

We present OctNet, a representation for deep learning with sparse 3D data. In contrast to existing models, our representation enables 3D convolutional networks which are both deep and high resolution... (read more)

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