NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching

We demonstrate that this approach significantly improves the accuracy of the maps, especially when trained within a collection. We show that NCP is data-efficient, fast, and achieves state-of-the-art results on many tasks.