SDP-GAN : Saliency Detail Preservation Generative Adversarial Networks for High Perceptual Quality Style Transfer
The paper proposes a solution to effectively handle salient regions for style transfer between unpaired datasets. Recently, Generative Adversarial Networks (GAN) have demonstrated their potentials of translating images from source domain X to target domain Y in the absence of paired examples. Howeve...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 13., Seite 374-385
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| 1. Verfasser: |
Li, Ru
(VerfasserIn) |
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| Weitere Verfasser: |
Wu, Chi-Hao,
Liu, Shuaicheng,
Wang, Jue,
Wang, Guangfu,
Liu, Guanghui,
Zeng, Bing |
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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 image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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