Dense Dual-Attention Network for Light Field Image Super-Resolution

@article{Mo2021DenseDN,
  title={Dense Dual-Attention Network for Light Field Image Super-Resolution},
  author={Yu Mo and Yingqian Wang and Chao Xiao and Jungang Yang and Wei An},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.12114}
}
Light field (LF) images can be used to improve the performance of image super-resolution (SR) because both angular and spatial information is available. It is challenging to incorporate distinctive information from different views for LF image SR. Moreover, the long-term information from the previous layers can be weakened as the depth of network increases. In this paper, we propose a dense dual-attention network for LF image SR. Specifically, we design a view attention module to adaptively… 

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