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X2Face: A network for controlling face generation using images, audio, and pose codes

Abstract:

The objective of this paper is a neural network model that controls the pose and expression of a given face, using another face or modality (e.g. audio). This model can then be used for lightweight, sophisticated video and image editing.


We make the following three contributions. First, we introduce a network, X2Face, that can control a source face (specified by one or more frames) using another face in a driving frame to produce a generated frame with the identity of the sour...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1007/978-3-030-01261-8_4

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0002-8945-8573
Publisher:
Springer Publisher's website
Publication date:
2018-10-06
Acceptance date:
2018-07-03
DOI:
Pubs id:
pubs:944870
URN:
uri:4fc87fbb-1751-428f-83a4-e672e0cebd21
UUID:
uuid:4fc87fbb-1751-428f-83a4-e672e0cebd21
Local pid:
pubs:944870

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