
Joint2Human leverages 2D diffusion models to efficiently generate high-quality 3D humans with reasonable global structure and fine-grained geometry details, enabled by a compact spherical embedding of 3D joints, a high-frequency enhancer, and a multi-view recarving strategy.


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Joint2Human: Efficient Generation of High-Quality 3D Humans with Global Structure and Local Details


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StructLDM, a diffusion-based unconditional 3D human generative model, learns a structured and dense latent representation to capture the articulated structure and semantics of the human body, enabling diverse and controllable 3D human generation.


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Structured Latent Diffusion for Diverse and Controllable 3D Human Generation
