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Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation

Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation

29 February 2024
Dongliang Cao
Marvin Eisenberger
Nafie El Amrani
Daniel Cremers
Florian Bernard
ArXivPDFHTML

Papers citing "Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation"

4 / 4 papers shown
Title
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev
Zorah Lähner
Vladislav Golyanik
DiffM
72
1
0
03 Mar 2025
Unsupervised Learning of Robust Spectral Shape Matching
Unsupervised Learning of Robust Spectral Shape Matching
Dongliang Cao
Paul Roetzer
Florian Bernard
3DPC
48
39
0
27 Apr 2023
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for
  3D Point Clouds
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
Yiming Zeng
Y. Qian
Zhiyu Zhu
Junhui Hou
Hui Yuan
Ying He
3DPC
112
66
0
31 Dec 2020
3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
3DV
132
325
0
13 Jun 2018
1