Deformable Generator Networks : Unsupervised Disentanglement of Appearance and Geometry
We present a deformable generator model to disentangle the appearance and geometric information for both image and video data in a purely unsupervised manner. The appearance generator network models the information related to appearance, including color, illumination, identity or category, while the...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 3 vom: 02. März, Seite 1162-1179
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| Auteur principal: |
Xing, Xianglei
(Auteur) |
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| Autres auteurs: |
Gao, Ruiqi,
Han, Tian,
Zhu, Song-Chun,
Wu, Ying Nian |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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