PointGrid: A Deep Network for 3D Shape Understanding

This paper presents a new deep learning architecture called PointGrid that is designed for 3D model recognition from unorganized point clouds. The new architecture embeds the input point cloud into a 3D grid by a simple, yet effective, sampling strategy and directly learns transformations and features from their raw coordinates... (read more)

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Results from the Paper


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Results from Other Papers


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
3D Point Cloud Classification ModelNet40 PointGrid Overall Accuracy 92.0 # 28
3D Part Segmentation ShapeNet-Part PointGrid Class Average IoU 82.2 # 19
Instance Average IoU 86.4 # 8

Methods used in the Paper


METHOD TYPE
PointNet
3D Representations