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Found 3 papers, 2 papers with code
Hierarchical Residual Attention Network for Single Image Super-Resolution
In order to make an efficient use of the residual features, these are hierarchically aggregated into feature banks for posterior usage at the network output.
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution
Lightweight super resolution networks have extremely importance for real-world applications.
OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network
Super-resolution (SR) has achieved great success due to the development of deep convolutional neural networks (CNNs).
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