LAUSR

WTFM Layer: An Effective Map Extractor for Unsupervised Shape Correspondence

Sign Up to like & get
recommendations!
2 Published in 2022 at "Computer Graphics Forum"

DOI: 10.1111/cgf.14656

Abstract: We propose a novel unsupervised learning approach for computing correspondences between non‐rigid 3D shapes. The core idea is that we integrate a novel structural constraint into the deep functional map pipeline, a recently dominant learning… read more here.

Keywords: map; shape correspondence; functional map; wtfm layer ... See more keywords