DeepFaceFlow: In-the-wild Dense 3D Facial Motion Estimation

CVPR 2020 Mohammad Rami KoujanAnastasios RoussosStefanos Zafeiriou

Dense 3D facial motion capture from only monocular in-the-wild pairs of RGB images is a highly challenging problem with numerous applications, ranging from facial expression recognition to facial reenactment. In this work, we propose DeepFaceFlow, a robust, fast, and highly-accurate framework for the dense estimation of 3D non-rigid facial flow between pairs of monocular images... (read more)

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