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- W2753371338 abstract "An efficient, fully automatic method for 3D face shape and pose estimation in unconstrained 2D imagery is presented. The proposed method jointly estimates a dense set of 3D landmarks and facial geometry using a single pass of a modified version of the popular U-Net neural network architecture. Additionally, we propose a method for directly estimating a set of 3D Morphable Model (3DMM) parameters, using the estimated 3D landmarks and geometry as constraints in a simple linear system. Qualitative modeling results are presented, as well as quantitative evaluation of predicted 3D face landmarks in unconstrained video sequences." @default.
- W2753371338 created "2017-09-15" @default.
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- W2753371338 date "2017-08-29" @default.
- W2753371338 modified "2023-09-27" @default.
- W2753371338 title "Pix2face: Direct 3D Face Model Estimation" @default.
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