Handy: Towards a high fidelity 3D hand shape and appearance model

Description

To appear in Proceedings of the IEEE *Conference on Computer Vision and Pattern Recognition (**CVPR**), 2023*

DESIGN WORLD ADDITIVE MANUFACTURING HANDBOOK SEPTEMBER 2021 by

PDF] Single Image 3D Hand Reconstruction with Mesh Convolutions

PDF] AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction

Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model

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Handy: Towards a high fidelity 3D hand shape and appearance model

PDF] AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction

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PDF) Model-Based 3D Hand Pose Estimation from Monocular Video

End-to-end Weakly-supervised Multiple 3D Hand Mesh Reconstruction from Single Image

PDF] ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis

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PDF] AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction

PDF] Single Image 3D Hand Reconstruction with Mesh Convolutions

CN110310285B - 一种精确的基于三维人体重建的烧伤面积计算方法- Google Patents

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