205 citations · 335 across the 39 of their papers we have counts for
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Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz
Ayush Tewari, Michael Zollhöfer, Pablo Garrido +4
The reconstruction of dense 3D models of face geometry and appearance from a single image is highly challenging and ill-posed. To constrain the problem, many approaches rely on str…
InverseFaceNet: Deep Monocular Inverse Face Rendering
Hyeongwoo Kim, Michael Zollhöfer, Ayush Tewari +3
We introduce InverseFaceNet, a deep convolutional inverse rendering framework for faces that jointly estimates facial pose, shape, expression, reflectance and illumination from a s…
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
Ayush Tewari, Michael Zollhöfer, Hyeongwoo Kim +4
In this work we propose a novel model-based deep convolutional autoencoder that addresses the highly challenging problem of reconstructing a 3D human face from a single in-the-wild…