MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction

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 color image. To this end, we combine a convolutional encoder network with an expert-designed generative model that serv...

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Bibliographic Details

Published in:	Proceedings / IEEE International Conference on Computer Vision pp. 3735 - 3744
Main Authors:	Tewari, Ayush, Zollhofer, Michael, Hyeongwoo Kim, Garrido, Pablo, Bernard, Florian, Perez, Patrick, Theobalt, Christian
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2017
Subjects:	Decoding Face Image reconstruction Lighting Semantics Shape Three-dimensional displays
ISSN:	2380-7504
Online Access:	Get full text
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