Conference item
X2Face: A network for controlling face generation using images, audio, and pose codes
- Abstract:
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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
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- Files:
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(Accepted manuscript, pdf, 4.0MB)
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- Publisher copy:
- 10.1007/978-3-030-01261-8_4
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Authors
Funding
Bibliographic Details
- 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:
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944870
Item Description
- Pubs id:
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pubs:944870
- UUID:
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uuid:4fc87fbb-1751-428f-83a4-e672e0cebd21
- Local pid:
- pubs:944870
- Deposit date:
- 2018-11-21
Terms of use
- Copyright holder:
- Springer Nature Switzerland
- Copyright date:
- 2018
- Notes:
- © Springer Nature Switzerland AG 2018. This is the accepted manuscript version of the article. The final version is available online from Springer at: https://doi.org/10.1007/978-3-030-01261-8_41
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