Continuous Conditional Generative Adversarial Networks : Novel Empirical Losses and Label Input Mechanisms
This article focuses on conditional generative modeling (CGM) for image data with continuous, scalar conditions (termed regression labels). We propose the first model for this task which is called continuous conditional generative adversarial network (CcGAN). Existing conditional GANs (cGANs) are ma...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 7 vom: 12. Juli, Seite 8143-8158
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| 1. Verfasser: |
Ding, Xin
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Yongwei,
Xu, Zuheng,
Welch, William J,
Wang, Z Jane |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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