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Smoothness and effective regularizations in learned embeddings for shape
  matching

Smoothness and effective regularizations in learned embeddings for shape matching

14 December 2021
R. Marin
Souhaib Attaiki
Simone Melzi
Emanuele Rodolà
M. Ovsjanikov
ArXivPDFHTML

Papers citing "Smoothness and effective regularizations in learned embeddings for shape matching"

5 / 5 papers shown
Title
NICP: Neural ICP for 3D Human Registration at Scale
NICP: Neural ICP for 3D Human Registration at Scale
R. Marin
Enric Corona
Gerard Pons-Moll
3DH
29
168
0
21 Dec 2023
Feature-metric Registration: A Fast Semi-supervised Approach for Robust
  Point Cloud Registration without Correspondences
Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences
Xiaoshui Huang
Guofeng Mei
Jian Zhang
3DPC
65
245
0
03 May 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
120
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
222
14,103
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
259
3,239
0
24 Nov 2016
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