We represent human body shape estimation from binary silhouettes or shaded images as a regression problem, and describe a novel method to tackle it using ...

Dec 19, 2016 · We represent human body shape estimation from binary silhouettes or shaded images as a regression problem, and describe a novel method to ...

HS-Nets : Estimating Human Body Shape from Silhouettes with Convolutional. Neural Networks ... this network to accurately estimate full body shapes from.

This work trains CNNs to learn a global mapping from the input to shape parameters used to reconstruct the shapes of people, in neutral poses, with the ...

For details of the method, please check the paper "HS-Nets : Estimating Human Body Shape from Silhouettes with Convolutional Neural Networks". For data ...

We represent human body shape estimation from binary silhouettes or shaded images as a regression problem, and describe a novel method to tackle it using ...

Mar 11, 2022 · “Hs-nets: Estimating human body shape from silhouettes with convolutional neural networks.” 2016 fourth international conference on 3D ...

This work combines deep correlated features capturing different 2D views, and embedding spaces based on 3D cues in a novel convolutional neural network ...

[1] Dibra, E., Jain, H., Öztireli, C., Ziegler, R., Gross, M.: HS-Nets : Estimating human body shape from silhouettes with convolutional neural networks.

Apr 16, 2024 · HS-Nets: Estimating human body shape from silhouettes with convolutional neural networks. ... human pose and shape estimation. In CVPR ...