Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes

The analysis of deforming 3D surface meshes is accelerated by autoencoders since the low-dimensional embeddings can be used to visualize underlying dynamics. But, state-of-the-art mesh convolutional autoencoders require a fixed connectivity of all input meshes handled by the autoencoder. This is due...

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Bibliographic Details

Published in:	Proceedings / IEEE Workshop on Applications of Computer Vision pp. 2344 - 2353
Main Authors:	Hahner, Sara, Garcke, Jochen
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.01.2022
Subjects:	Computer architecture Computer vision Deep Learning -> Graph Neural Networks 3D Computer Vision; Deep Learning; Deep Learning -> Neural Generative Models; Autoencoders; GANs; Transfer; Few-shot; Semi- and Un- supervised Learning Geometry Shape Three-dimensional displays Transforms Visualization
ISSN:	2642-9381
Online Access:	Get full text
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