3D human body shape reconstruction

W2H-Net: Fast Prediction of Waist-to-Hip Ratio from Single Partial Dressed Body Scans in Arbitrary Postures via Deep Learning
The Waist-to-Hip Ratio (WHR) is an important indicator for health risk prediction, body fat distribution, body shape analysis, and …
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W2H-Net: Fast Prediction of Waist-to-Hip Ratio from Single Partial Dressed Body Scans in Arbitrary Postures via Deep Learning
Point2PartVolume: Human Body Volume Estimation from A Single Depth Image
Human body volume (BV) is a useful biometric feature for human identification and an important medical indicator for monitoring body …
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Point2PartVolume: Human Body Volume Estimation from A Single Depth Image
PoseNormNet: Identity-preserved Posture Normalization of 3D Body Scans in Arbitrary Postures
Three-dimensional (3-D) human models accurately represent the shape of the subjects, which is key to many human-centric industrial …
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PoseNormNet: Identity-preserved Posture Normalization of 3D Body Scans in Arbitrary Postures
AlignBodyNet: Deep Learning-Based Alignment of Non-Overlapping Partial Body Point Clouds From a Single Depth Camera
This article proposes a novel deep learning framework to generate omnidirectional 3-D point clouds of human bodies by registering the …
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AlignBodyNet: Deep Learning-Based Alignment of Non-Overlapping Partial Body Point Clouds From a Single Depth Camera
3DBodyNet: fast reconstruction of 3D animatable human body shape from a single commodity depth camera
Knowledge about individual body shape has numerous applications in various domains such as healthcare, fashion and personalized …
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3DBodyNet: fast reconstruction of 3D animatable human body shape from a single commodity depth camera