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Unsupervised Representation Learning for Diverse Deformable Shape
  Collections

Unsupervised Representation Learning for Diverse Deformable Shape Collections

27 October 2023
Sara Hahner
Souhaib Attaiki
Jochen Garcke
M. Ovsjanikov
ArXivPDFHTML

Papers citing "Unsupervised Representation Learning for Diverse Deformable Shape Collections"

4 / 4 papers shown
Title
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape
  Matching via Unsupervised Functional Map Regularized Reconstruction
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction
Souhaib Attaiki
M. Ovsjanikov
3DPC
37
5
0
11 Mar 2024
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
115
325
0
13 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
13,886
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
1