Mitigating the Impact of Labeling Inaccuracies on 3D Human Body Reconstruction from Monocular Videos

Abstract This paper addresses the challenge of labeling inaccuracies in 3D human pose and shape reconstruction from monocular videos. Existing methods often rely on noisy pseudo ground truth, which introduces performance degradation such as jittering and drifting. To overcome these limitations, we p...

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Bibliographic Details

Published in:	International Journal of Computational Intelligence Systems
Main Authors:	Yupeng Hou, Guangping Zeng
Format:	Article
Language:	English
Published:	Springer 2025-07-01
Subjects:	3D human body reconstruction 3D human body model Confidence modeling Monocular videos
Online Access:	https://doi.org/10.1007/s44196-025-00921-5