AI RESEARCH
HGGT: Robust and Flexible 3D Hand Mesh Reconstruction from Uncalibrated Images
arXiv CS.CV
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ArXi:2603.23997v1 Announce Type: new Recovering high-fidelity 3D hand geometry from images is a critical task in computer vision, holding significant value for domains such as robotics, animation and VR/AR. Crucially, scalable applications demand both accuracy and deployment flexibility, requiring the ability to leverage massive amounts of unstructured image data from the internet or enable deployment on consumer-grade RGB cameras without complex calibration. However, current methods face a dilemma.