Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes

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Abstract:

We propose an unsupervised learning framework with the pretext task of finding dense correspondences between point cloud shapes from the same category based on the cycle-consistency formulation. In order to learn discriminative pointwise features from point cloud data, we incorporate in the formulation a regularization term based on Sin...More

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