The matching of 3D shapes has been extensively studied for shapes represented as surface
meshes, as well as for shapes represented as point clouds. While point clouds are a …

Finding correspondences between shapes is a fundamental problem in computer vision and
graphics, which is relevant for many applications, including 3D reconstruction, object …

Although 3D shape matching and interpolation are highly interrelated they are often studied
separately and applied sequentially to relate different 3D shapes thus resulting in sub …

Calculating correspondences between non-rigidly deformed shapes is the backbone of
many applications in 3D computer vision and graphics. The functional map approach offers …

Most recent unsupervised non-rigid 3D shape matching methods are based on the
functional map framework due to its efficiency and superior performance. Nevertheless …

We propose a novel unsupervised learning approach for non-rigid 3D shape matching. Our
approach improves upon recent state-of-the art deep functional map methods and can be …

Aligning data from different domains is a fundamental problem in machine learning with
broad applications across very different areas, most notably aligning experimental readouts …