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FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction by Athar, ShahRukh; Pumarola, Albert; Moreno-Noguer, Francesc; Samaras, Dimitris is a scholarly article available to read on EtoBox.

What is FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction about?

Facial Expressions induce a variety of high-level details on the 3D face geometry. For example, a smile causes the wrinkling of cheeks or the formation of dimples, while being angry often causes wrinkling of the forehead. Morphable Models (3DMMs) of the human face fail to capture such fine details in their PCA-based representations and consequently cannot generate such details when used to edit expressions. In this work, we introduce FaceDet3D, a first-of-its-kind method that generates - from a single image - geometric facial details that are consistent with any desired target expression. The facial details are represented as a vertex displacement map and used then by a Neural Renderer to photo-realistically render novel images of any single image in any desired expression and view. The project website is: http://shahrukhathar.github.io/2020/12/14/FaceDet3D.html

Author

Athar, ShahRukh; Pumarola, Albert; Moreno-Noguer, Francesc; Samaras, Dimitris

Published

2020

Language

EN