DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
Itai Lang,
Dvir Ginzburg,
Shai Avidan
et al.
Abstract:We present a new method for real-time non-rigid dense correspondence between point clouds based on structured shape construction. Our method, termed Deep Point Correspondence (DPC), requires a fraction of the training data compared to previous techniques and presents better generalization capabilities. Until now, two main approaches have been suggested for the dense correspondence problem. The first is a spectral-based approach that obtains great results on synthetic datasets but requires mesh connectivity of … Show more
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