A Novel Fast Reconstruction Method for Single Image Super Resolution Task
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-023-11235-y.pdf
Reference40 articles.
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2. Nan F, Zeng Q, Xing Y, Qian Y (2020) Single image super-resolution reconstruction based on the ResNeXt network. Multimed Tools Appl 79:34459–34470. https://doi.org/10.1007/s11042-020-09053-8
3. Chu J, Li X, Zhang J, Lu W (2020) Super-resolution using multi-channel merged convolutional network. Neurocomputing 394:136–145. https://doi.org/10.1016/j.neucom.2019.04.089
4. Isola P, Zhu J-Y, Zhou T, Efros AA (2017) Image-to-image translation with conditional adversarial networks. IEEE Conf Comput Vis Pattern Recogn (CVPR) 2017:5967–5976. https://doi.org/10.1109/CVPR.2017.632
5. Wu X, Li Y, Hao Z, Wu C, Wang X, Liu Y (2019) Image style transformation based on structure GAN. Chin Autom Congr (CAC) 2019:2002–2007. https://doi.org/10.1109/CAC48633.2019.8996315
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