CoEvoer is a new cross-dependency transformer framework for upper-body expressive human pose and shape estimation that achieves state-of-the-art performance by enabling mutual enhancement between body parts.
Avatarclip: Zero-shot text-driven generation and animation of 3d avatars
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HandDreamer is the first zero-shot text-to-3D method for hands that uses MANO initialization, skeleton-guided diffusion, and corrective shape guidance to produce view-consistent models.
SMPL-GPTexture uses text-to-image generation to produce dual-view human images, aligns them to SMPL meshes via 2D-to-3D recovery, projects colors to UV space, and applies diffusion inpainting to create full high-resolution textures aligned to user prompts.
ConsDreamer refines conditional and unconditional terms in score distillation via view disentanglement and geometric consistency loss to reduce the Janus problem in zero-shot text-to-3D.
citing papers explorer
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Chatting about Upper-Body Expressive Human Pose and Shape Estimation
CoEvoer is a new cross-dependency transformer framework for upper-body expressive human pose and shape estimation that achieves state-of-the-art performance by enabling mutual enhancement between body parts.
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HandDreamer: Zero-Shot Text to 3D Hand Model Generation using Corrective Hand Shape Guidance
HandDreamer is the first zero-shot text-to-3D method for hands that uses MANO initialization, skeleton-guided diffusion, and corrective shape guidance to produce view-consistent models.
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SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Models
SMPL-GPTexture uses text-to-image generation to produce dual-view human images, aligns them to SMPL meshes via 2D-to-3D recovery, projects colors to UV space, and applies diffusion inpainting to create full high-resolution textures aligned to user prompts.
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ConsDreamer: Advancing Multi-View Consistency for Zero-Shot Text-to-3D Generation
ConsDreamer refines conditional and unconditional terms in score distillation via view disentanglement and geometric consistency loss to reduce the Janus problem in zero-shot text-to-3D.