Conference item icon

Conference item

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...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


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

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0002-8945-8573
Publisher:
Springer Publisher's website
Journal:
15th European Conference on Computer Vision (ECCV 2018) Journal website
Host title:
15th European Conference on Computer Vision (ECCV 2018)
Publication date:
2018-10-06
Acceptance date:
2018-07-03
DOI:
Source identifiers:
944870
Pubs id:
pubs:944870
UUID:
uuid:4fc87fbb-1751-428f-83a4-e672e0cebd21
Local pid:
pubs:944870
Deposit date:
2018-11-21

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP