Dual Grid Net: hand mesh vertex regression from single depth maps

@article{Wan2019DualGN,
  title={Dual Grid Net: hand mesh vertex regression from single depth maps},
  author={Chengde Wan and Thomas Probst and Luc Van Gool and Angela Yao},
  journal={ArXiv},
  year={2019},
  volume={abs/1907.10695}
}
We present a method for recovering the dense 3D surface of the hand by regressing the vertex coordinates of a mesh model from a single depth map. [] Key Method In the first stage, the network estimates a dense correspondence field for every pixel on the depth map or image grid to the mesh grid. In the second stage, we design a differentiable operator to map features learned from the previous stage and regress a 3D coordinate map on the mesh grid.

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