LayoutGAN : Synthesizing Graphic Layouts With Vector-Wireframe Adversarial Networks
Layout is important for graphic design and scene generation. We propose a novel Generative Adversarial Network, called LayoutGAN, that synthesizes layouts by modeling geometric relations of different types of 2D elements. The generator of LayoutGAN takes as input a set of randomly-placed 2D graphic...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 7 vom: 06. Juli, Seite 2388-2399
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| 1. Verfasser: |
Li, Jianan
(VerfasserIn) |
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| Weitere Verfasser: |
Yang, Jimei,
Hertzmann, Aaron,
Zhang, Jianming,
Xu, Tingfa |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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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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