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Dataset . 2023
License: CC BY
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ZENODO
Dataset . 2024
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Data sources: ZENODO
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ZENODO
Dataset . 2024
License: CC BY
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Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Claim

3D Models and Silhouettes for Human Body Reshape with DL from the ANSUR Dataset

Research datakeyboard_double_arrow_right Dataset 01 Sep 2023 English Publisher:Zenodo
Authors: Perez Curbelo, Jesus; Spiteri, Raymond;

doi: 10.5281/zenodo.8309972 , 10.5281/zenodo.11301099 , 10.5281/zenodo.8309971 , 10.5281/zenodo.11236024

3D Models and Silhouettes for Human Body Reshape with DL from the ANSUR Dataset

Abstract

CitationsIf you use this dataset in your research, please cite the original paper: Curbelo, J.P., Spiteri, R.J. A methodology for realistic human shape reconstruction from 2D images. Multimedia Tools and Applications (2024), DOI: 10.1007/s11042-023-17947-6

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Keywords

human body reshaping, body silhouettes benchmark, deep learning, anthropometric measurements

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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