Image2Mesh: A Learning Framework for Single Image 3D Reconstruction

@article{Pontes2017Image2MeshAL,
  title={Image2Mesh: A Learning Framework for Single Image 3D Reconstruction},
  author={Jhony K. Pontes and Chen Kong and Sridha Sridharan and Simon Lucey and Anders P. Eriksson and Clinton Fookes},
  journal={CoRR},
  year={2017},
  volume={abs/1711.10669}
}
One challenge that remains open in 3D deep learning is how to efficiently represent 3D data to feed deep networks. Recent works have relied on volumetric or point cloud representations, but such approaches suffer from a number of issues such as computational complexity, unordered data, and lack of finer geometry. This paper demonstrates that a mesh representation (i.e. vertices and faces to form polygonal surfaces) is able to capture fine-grained geometry for 3D reconstruction tasks. A mesh… CONTINUE READING
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