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
Main Authors: Tewari, Ayush, Zollhofer, Michael, Hyeongwoo Kim, Garrido, Pablo, Bernard, Florian, Perez, Patrick, Theobalt, Christian
Format: Conference Proceeding
Language:English
Subjects:
Decoding
Face
Image reconstruction
Lighting
Semantics
Shape
Three-dimensional displays
Online Access:Request full text
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