Memory-Scalable and Simplified Functional Map Learning

30 March 2024

Papers citing "Memory-Scalable and Simplified Functional Map Learning"

5 / 5 papers shown

Title
Denoising Functional Maps: Diffusion Models for Shape Correspondence Aleksei Zhuravlev Zorah Lähner Vladislav Golyanik DiffM 65 1 0 03 Mar 2025
Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel Michael Taylor Vincent Sitzmann 21 0 0 29 May 2024
Unsupervised Learning of Robust Spectral Shape Matching Dongliang Cao Paul Roetzer Florian Bernard 3DPC 32 39 0 27 Apr 2023
Scalable and Efficient Functional Map Computations on Dense Meshes Robin Magnet M. Ovsjanikov 16 11 0 10 Mar 2023
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 115 325 0 13 Jun 2018