3D human body shape reconstruction

Foreground separation knowledge distillation for object detection
In recent years, deep learning models have become predominant methods for computer vision tasks, but the large computation and storage …
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Foreground separation knowledge distillation for object detection
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