Fast, Accurate, and, Lightweight Super-Resolution with Cascading Residual Network

@article{Ahn2018FastAA,
  title={Fast, Accurate, and, Lightweight Super-Resolution with Cascading Residual Network},
  author={Namhyuk Ahn and Byungkon Kang and Kyung-ah Sohn},
  journal={ArXiv},
  year={2018},
  volume={abs/1803.08664}
}
In recent years, deep learning methods have been successfully applied to single-image super-resolution tasks. Despite their great performances, deep learning methods cannot be easily applied to real-world applications due to the requirement of heavy computation. In this paper, we address this issue by proposing an accurate and lightweight deep network for image super-resolution. In detail, we design an architecture that implements a cascading mechanism upon a residual network. We also present… 

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