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MVF-Net: Multi-View 3D Face Morphable Model Regression
[article]
2019
arXiv
pre-print
We address the problem of recovering the 3D geometry of a human face from a set of facial images in multiple views. While recent studies have shown impressive progress in 3D Morphable Model (3DMM) based facial reconstruction, the settings are mostly restricted to a single view. There is an inherent drawback in the single-view setting: the lack of reliable 3D constraints can cause unresolvable ambiguities. We in this paper explore 3DMM-based shape recovery in a different setting, where a set of
arXiv:1904.04473v1
fatcat:rtf53cohq5bslpqsa2kcbuiqqq