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....
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Détails bibliographiques
| Publié dans: | 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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| Auteur principal: |
Qiao, Yingxu
(Auteur) |
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| Autres auteurs: |
Cui, Jiabao,
Huang, Fuxian,
Liu, Hongmin,
Bao, Cuizhu,
Li, Xi |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2021
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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