DHBR learns a disentangled 3D human body representation with a global shape code and per-bone-group pose codes, achieving lower mesh reconstruction error than prior unsupervised baselines.
Neural 3d morphable models: Spiral convolutional networks for 3d shape representation learning and generation,
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Disentangled Human Body Representation Based on Unsupervised Semantic-Aware Learning
DHBR learns a disentangled 3D human body representation with a global shape code and per-bone-group pose codes, achieving lower mesh reconstruction error than prior unsupervised baselines.