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3D human pose and shape estimation with dense correspondence from a single depth image

Published Online: 2022-01-07

Published Print: 2023-01

Authors

Wang, Kangkan https://orcid.org/0000-0002-3764-3072
Zhang, Guofeng

Yang, Jian
Funding

Funding for this research was provided by:

national natural science foundation of china (61602444)
License Information

Text and Data Mining valid from 2022-01-07

Version of Record valid from 2022-01-07
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Article History

Accepted: 16 October 2021

First Online: 7 January 2022

Declarations

:

: The authors declare that they have no conflict of interest.

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