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title
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updated
2026-02-24 06:58:51
raw text
LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies 3DV 2021 Sandro Lombardi 1 , Bangbang Yang 2 , Tianxing Fan 2 , Hujun Bao 2 , Guofeng Zhang 2 , Marc Pollefeys 1 3 , Zhaopeng Cui 2 1 ETH Zurich 2 State Key Lab of CAD & CG, Zhejiang University 3 Microsoft Paper Code (Comming Soon) Supplementary Abstract 3D representation and reconstruction of human bodies have been studied for a long time in computer vision. Traditional methods rely mostly on parametric statistical linear models, limiting the space of possible bodies to linear combinations. It is only recently that some approaches try to leverage neural implicit representations for human body modeling, and while demonstrating impressive results, they are either limited by representation capability or not physically meaningful and contro...
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