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Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding
  Boxes and LSTM Autoencoders

Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM Autoencoders

31 August 2020
Sara Hahner
Rodrigo Iza-Teran
Jochen Garcke
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM Autoencoders"

3 / 3 papers shown
Title
Unsupervised Representation Learning for Diverse Deformable Shape
  Collections
Unsupervised Representation Learning for Diverse Deformable Shape Collections
Sara Hahner
Souhaib Attaiki
Jochen Garcke
M. Ovsjanikov
66
1
0
27 Oct 2023
Transfer Learning using Spectral Convolutional Autoencoders on
  Semi-Regular Surface Meshes
Transfer Learning using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes
Sara Hahner
Felix Kerkhoff
Jochen Garcke
35
2
0
12 Dec 2022
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different
  Sizes
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes
Sara Hahner
Jochen Garcke
AI4CE
76
17
0
18 Oct 2021
1