M4Net: Towards Occlusion-Robust and Accurate 3D Dense Face Alignment with 3DMM and Mask Augmentation
XIONG ZHAO,
Sarina Sulaiman,
WONG YEE LENG
Abstract:Self-occlusion and External-occlusion significantly impact the accuracy of monocular 3D dense face alignment, some approaches based on 3D Morphable Models(3DMM) make much progress on it, although 3DMM is a simple and effective facialprior provider, but it can’t solve the problem of robustness caused by the lack of facial occlusion datasets. In this work, wepresent M4Net (Multi-scale features, Multi-head outputs, Mask Augmentation and based on 3D Morphable Model), a 3D denseface alignment method based on 3DMM w… Show more
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