Sketch-based Face Editing in Video Using Identity Deformation Transfer

نویسندگان

  • Long Zhao
  • Fangda Han
  • Mubbasir Kapadia
  • Vladimir Pavlovic
  • Dimitris N. Metaxas
چکیده

We address the problem of using hand-drawn sketch to edit facial identity, such as enlarging the shape or modifying the position of eyes or mouth, in the whole video. This task is formulated as a 3D face model reconstruction and deformation problem. We first introduce a two-stage realtime 3D face model fitting schema to recover facial identity and expressions from the video. We recognize the user’s editing intention from the input sketch as a set of facial modifications. A novel identity deformation algorithm is then proposed to transfer these deformations from 2D space to 3D facial identity directly, while preserving the facial expressions. Finally, these changes are propagated to the whole video with the modified identity. Experimental results demonstrate that our method can effectively edit facial identity in video based on the input sketch with high consistency and fidelity.

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عنوان ژورنال:
  • CoRR

دوره abs/1703.08738  شماره 

صفحات  -

تاریخ انتشار 2017