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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Mesh-Based Autoencoders for Localized Deformation Component Analysis

March 15, 2023

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Qingyang Tan

Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences


Lin Gao

Institute of Computing Technology, Chinese Academy of Sciences


Yu-Kun Lai

Cardiff University


Jie Yang

Institute of Computing Technology, Chinese Academy of Sciences


Shihong Xia

Institute of Computing Technology, Chinese Academy of Sciences


DOI:

10.1609/aaai.v32i1.11870


Abstract:

Spatially localized deformation components are very useful for shape analysis and synthesis in 3D geometry processing. Several methods have recently been developed, with an aim to extract intuitive and interpretable deformation components. However, these techniques suffer from fundamental limitations especially for meshes with noise or large-scale deformations, and may not always be able to identify important deformation components.In this paper we propose a novel mesh-based autoencoder architecture that is able to cope with meshes with irregular topology. We introduce sparse regularization in this framework, which along with convolutional operations, helps localize deformations.Our framework is capable of extracting localized deformation components from mesh data sets with large-scale deformations and is robust to noise. It also provides a nonlinear approach to reconstruction of meshes using the extracted basis, which is more effective than the current linear combination approach. Extensive experiments show that our method outperforms state-of-the-art methods in both qualitative and quantitative evaluations.

Topics: AAAI

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HOW TO CITE:

Qingyang Tan||Lin Gao||Yu-Kun Lai||Jie Yang||Shihong Xia Mesh-Based Autoencoders for Localized Deformation Component Analysis Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Qingyang Tan||Lin Gao||Yu-Kun Lai||Jie Yang||Shihong Xia Mesh-Based Autoencoders for Localized Deformation Component Analysis AAAI 2018, .

Qingyang Tan||Lin Gao||Yu-Kun Lai||Jie Yang||Shihong Xia (2018). Mesh-Based Autoencoders for Localized Deformation Component Analysis. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Qingyang Tan||Lin Gao||Yu-Kun Lai||Jie Yang||Shihong Xia. Mesh-Based Autoencoders for Localized Deformation Component Analysis. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Qingyang Tan||Lin Gao||Yu-Kun Lai||Jie Yang||Shihong Xia. 2018. Mesh-Based Autoencoders for Localized Deformation Component Analysis. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Qingyang Tan||Lin Gao||Yu-Kun Lai||Jie Yang||Shihong Xia. (2018) "Mesh-Based Autoencoders for Localized Deformation Component Analysis", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Qingyang Tan||Lin Gao||Yu-Kun Lai||Jie Yang||Shihong Xia, "Mesh-Based Autoencoders for Localized Deformation Component Analysis", AAAI, p., 2018.

Qingyang Tan||Lin Gao||Yu-Kun Lai||Jie Yang||Shihong Xia. "Mesh-Based Autoencoders for Localized Deformation Component Analysis". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Qingyang Tan||Lin Gao||Yu-Kun Lai||Jie Yang||Shihong Xia. "Mesh-Based Autoencoders for Localized Deformation Component Analysis". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Qingyang Tan||Lin Gao||Yu-Kun Lai||Jie Yang||Shihong Xia. Mesh-Based Autoencoders for Localized Deformation Component Analysis. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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Artificial Intelligence 1900 Embarcadero Road, Suite
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