Efficient Style-Corpus Constrained Learning for Photorealistic Style Transfer
Photorealistic style transfer is a challenging task, which demands the stylized image remains real. Existing methods are still suffering from unrealistic artifacts and heavy computational cost. In this paper, we propose a novel Style-Corpus Constrained Learning (SCCL) scheme to address these issues....
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 22., Seite 3154-3166
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| 1. Verfasser: |
Qiao, Yingxu
(VerfasserIn) |
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| Weitere Verfasser: |
Cui, Jiabao,
Huang, Fuxian,
Liu, Hongmin,
Bao, Cuizhu,
Li, Xi |
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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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