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  ROAM: Robust and Object-Aware Motion Generation Using Neural Pose Descriptors

Zhang, W., Dabral, R., Leimkühler, T., Golyanik, V., Habermann, M., & Theobalt, C. (2024). ROAM: Robust and Object-Aware Motion Generation Using Neural Pose Descriptors. In 3DV 2024 (pp. 1392-1402). Los Alamitos, CA: IEEE Computer Society. doi:10.1109/3DV62453.2024.00130.

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Genre: Conference Paper
Latex : {ROAM}: {R}obust and Object-Aware Motion Generation Using Neural Pose Descriptors

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2308.12969v2.pdf (Preprint), 10MB
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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 Creators:
Zhang, Wanyue1, Author           
Dabral, Rishabh1, Author           
Leimkühler, Thomas1, Author           
Golyanik, Vladislav1, Author           
Habermann, Marc1, Author           
Theobalt, Christian1, Author                 
Affiliations:
1Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society, ou_3311330              

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Language(s): eng - English
 Dates: 20242024
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/3DV62453.2024.00130
BibTex Citekey: Zhang3DV24
 Degree: -

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Project name : 4DRepLy
Grant ID : 770784
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: 3DV 2024
  Abbreviation : 3DV 2024
  Subtitle : 2024 International Conference in 3D Vision ; 18-21 March 2024, Davos, Switzerland ; Proceedings
Source Genre: Proceedings
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Publ. Info: Los Alamitos, CA : IEEE Computer Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1392 - 1402 Identifier: ISBN: 979-8-3503-6245-9