JADE learns a per-joint disentangled latent representation for 3D human bodies and generates new shapes with two cascaded diffusion models, one for skeleton structure and one for local surface geometry.
Neural 3d mor- phable models: Spiral convolutional networks for 3d shape representation learning and generation
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JADE: Joint-aware Latent Diffusion for 3D Human Generative Modeling
JADE learns a per-joint disentangled latent representation for 3D human bodies and generates new shapes with two cascaded diffusion models, one for skeleton structure and one for local surface geometry.