Learning Frequency-aware Dynamic Network for Efficient Super-Resolution

@article{Xie2021LearningFD,
  title={Learning Frequency-aware Dynamic Network for Efficient Super-Resolution},
  author={Wenbin Xie and Dehua Song and Chang Xu and Chunjing Xu and Hui Zhang and Yunhe Wang},
  journal={2021 IEEE/CVF International Conference on Computer Vision (ICCV)},
  year={2021},
  pages={4288-4297}
}
Deep learning based methods, especially convolutional neural networks (CNNs) have been successfully applied in the field of single image super-resolution (SISR). To obtain better fidelity and visual quality, most of existing networks are of heavy design with massive computation. However, the computation resources of modern mobile devices are limited, which cannot easily support the expensive cost. To this end, this paper explores a novel frequency-aware dynamic network for dividing the input… 

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