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VariGrad: A Novel Feature Vector Architecture for Geometric Deep
  Learning on Unregistered Data

VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data

7 July 2023
Emmanuel Hartman
E. Pierson
ArXivPDFHTML

Papers citing "VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data"

3 / 3 papers shown
Title
SketchCleanNet -- A deep learning approach to the enhancement and
  correction of query sketches for a 3D CAD model retrieval system
SketchCleanNet -- A deep learning approach to the enhancement and correction of query sketches for a 3D CAD model retrieval system
Bharadwaj Manda
P. Kendre
Subhrajit Dey
Ramanathan Muthuganapathy
3DPC
36
13
0
02 Jul 2022
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
14,099
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
247
3,236
0
24 Nov 2016
1