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  D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions

Christen, S., Kocabas, M., Aksan, E., Hwangbo, J., Song, J., & Hilliges, O. (2022). D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) (pp. 20545-20554). Piscataway, NJ: IEEE. doi:10.1109/CVPR52688.2022.01992.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-0645-F Version Permalink: https://hdl.handle.net/21.11116/0000-000D-0646-E
Genre: Conference Paper

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Locator:
https://doi.org/10.1109/CVPR52688.2022.01992 (Publisher version)
Description:
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OA-Status:
Not specified
Locator:
https://doi.org/10.48550/arXiv.2112.03028 (Preprint)
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OA-Status:
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 Creators:
Christen, Sammy1, Author
Kocabas, Muhammed1, 2, Author           
Aksan, Emre1, Author
Hwangbo, Jemin1, Author
Song, Jie1, Author
Hilliges, Otmar1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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Free keywords: Abt. Black
 Abstract: -

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Language(s): eng - English
 Dates: 2022-09-272022
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Christen:CVPR:2022
DOI: 10.1109/CVPR52688.2022.01992
arXiv: 2112.03028
 Degree: -

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022)
Place of Event: New Orleans, LA
Start-/End Date: 2022-06-18 - 2022-06-24

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Title: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 20545 - 20554 Identifier: ISBN: 978-1-6654-6946-3
ISBN: 978-1-6654-6947-0
ISSN: 2575-7075
ISSN: 1063-6919
DOI: 10.1109/CVPR52688.2022