Dual Grid Net is a two-stage FCN that regresses 3D hand mesh vertices and dense correspondences from single depth maps, achieving SOTA keypoint accuracy on NYU under supervision and competitive results via self-supervision without annotations.
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Dual Grid Net: hand mesh vertex regression from single depth maps
Dual Grid Net is a two-stage FCN that regresses 3D hand mesh vertices and dense correspondences from single depth maps, achieving SOTA keypoint accuracy on NYU under supervision and competitive results via self-supervision without annotations.