activity
20172026
most citedDPFM: Deep Partial Functional Maps

59 citations · 162 across the 59 of their papers we have counts for

collaborators
Showing 2021Show all

11 papers · 1 filter

cs.CV2021

Complex Functional Maps : a Conformal Link Between Tangent Bundles

Nicolas Donati, Etienne Corman, Simone Melzi +1

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 these…

cs.CV2021★ 2 cited

Smoothness and effective regularizations in learned embeddings for shape matching

Riccardo Marin, Souhaib Attaiki, Simone Melzi +2

Many innovative applications require establishing correspondences among 3D geometric objects. However, the countless possible deformations of smooth surfaces make shape matching a…

cs.CV2021★ 1 cited

Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud

Abhishek Sharma, Maks Ovsjanikov

Despite the success of deep functional maps in non-rigid 3D shape matching, there exists no learning framework that models both self-symmetry and shape matching simultaneously. Thi…

cs.CV2021★ 59 cited

DPFM: Deep Partial Functional Maps

Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov

We consider the problem of computing dense correspondences between non-rigid shapes with potentially significant partiality. Existing formulations tackle this problem through heavy…

cs.CV2021★ 1 cited

Learning Canonical Embedding for Non-rigid Shape Matching

Abhishek Sharma, Maks Ovsjanikov

This paper provides a novel framework that learns canonical embeddings for non-rigid shape matching. In contrast to prior work in this direction, our framework is trained end-to-en…

cs.CV2021

Differentiable Surface Triangulation

Marie-Julie Rakotosaona, Noam Aigerman, Niloy Mitra +2

Triangle meshes remain the most popular data representation for surface geometry. This ubiquitous representation is essentially a hybrid one that decouples continuous vertex locati…