Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression

@article{Jackson2017LargeP3,
  title={Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression},
  author={Aaron S. Jackson and Adrian Bulat and V. Argyriou and Georgios Tzimiropoulos},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={1031-1039}
}
  • Aaron S. Jackson, Adrian Bulat, +1 author Georgios Tzimiropoulos
  • Published 2017
  • Computer Science
  • 2017 IEEE International Conference on Computer Vision (ICCV)
  • 3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty. [...] Key Method We achieve this via a simple CNN architecture that performs direct regression of a volumetric representation of the 3D facial geometry from a single 2D image. We also demonstrate how the related task of facial landmark localization can be incorporated into the proposed framework and help improve reconstruction quality, especially for the cases of large poses and facial expressions. Code and models will…Expand Abstract
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