Improving Generative Adversarial Networks With Local Coordinate Coding
Generative adversarial networks (GANs) have shown remarkable success in generating realistic data from some predefined prior distribution (e.g., Gaussian noises). However, such prior distribution is often independent of real data and thus may lose semantic information (e.g., geometric structure or c...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 1 vom: 15. Jan., Seite 211-227
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| Auteur principal: |
Cao, Jiezhang
(Auteur) |
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| Autres auteurs: |
Guo, Yong,
Wu, Qingyao,
Shen, Chunhua,
Huang, Junzhou,
Tan, Mingkui |
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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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