Combining GAN with reverse correlation to construct personalized facial expressions.
Recent deep-learning techniques have made it possible to manipulate facial expressions in digital photographs or videos, however, these techniques still lack fine and personalized ways to control their creation. Moreover, current technologies are highly dependent on large labeled databases, which li...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science (PLoS)
2023-01-01
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| Collection: | PLoS ONE |
| Accès en ligne: | https://doi.org/10.1371/journal.pone.0290612 |
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