EnlightenGAN : Deep Light Enhancement Without Paired Supervision
Deep learning-based methods have achieved remarkable success in image restoration and enhancement, but are they still competitive when there is a lack of paired training data? As one such example, this paper explores the low-light image enhancement problem, where in practice it is extremely challeng...
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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: 01., Seite 2340-2349
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| Auteur principal: |
Jiang, Yifan
(Auteur) |
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| Autres auteurs: |
Gong, Xinyu,
Liu, Ding,
Cheng, Yu,
Fang, Chen,
Shen, Xiaohui,
Yang, Jianchao,
Zhou, Pan,
Wang, Zhangyang |
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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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