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- W2895769970 abstract "Image super-resolution is an important research field in image analysis. The techniques of image super-resolution has been widely used in many computer vision applications. In recent years, the success of deep learning methods in image super-resolution have attracted more and more researchers. This paper gives a brief review of recent deep learning based methods for single image super-resolution (SISR), in terms of network type, network structure, and training methods. The advantages and disadvantages of these methods are analyzed as well." @default.
- W2895769970 created "2018-10-12" @default.
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- W2895769970 date "2018-01-01" @default.
- W2895769970 modified "2023-09-24" @default.
- W2895769970 title "Recent Advances in Deep Learning for Single Image Super-Resolution" @default.
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- W2895769970 doi "https://doi.org/10.1007/978-3-030-00563-4_9" @default.
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