We present a simple and efficient method for refining maps or correspondences by iterative
upsampling in the spectral domain that can be implemented in a few lines of code. Our main …

We present a novel method for computing correspondences across 3D shapes using
unsupervised learning. Our method computes a non-linear transformation of given …

State-of-the-art fully intrinsic network for non-rigid shape matching are unable to
disambiguate between shape inner symmetries. Meanwhile, recent advances in the …

In this paper, we provide a theoretical foundation for pointwise map recovery from functional
maps and highlight its relation to a range of shape correspondence methods based on …

We introduce pointwise map smoothness via the Dirich-let energy into the functional map
pipeline, and propose an algorithm for optimizing it efficiently, which leads to highquality …

We propose a novel discrete solver for optimizing functional map‐based energies, including
descriptor preservation and promoting structural properties such as area‐preservation …

In this paper, we introduce complex functional maps, which extend the functional map
framework to conformal maps between tangent vector fields on surfaces. A key property of …

In this paper, we explore a new type of extrinsic method to directly align two geometric
shapes with point-to-point correspondences in ambient space by recovering a deformation …

In this paper we propose an approach for computing multiple high-quality near-isometric
dense correspondences between a pair of 3D shapes. Our method is fully automatic and …

We consider the problem of non‐rigid shape matching using the functional map framework.
Specifically, we analyze a commonly used approach for regularizing functional maps, which …