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

FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction