ISTA-NET++: Flexible Deep Unfolding Network for Compressive Sensing

@article{You2021ISTANETFD,
  title={ISTA-NET++: Flexible Deep Unfolding Network for Compressive Sensing},
  author={Di You and Jingfen Xie and Jian Zhang},
  journal={2021 IEEE International Conference on Multimedia and Expo (ICME)},
  year={2021},
  pages={1-6}
}
While deep neural networks have achieved impressive success in image compressive sensing (CS), most of them lack flexibility when dealing with multi-ratio tasks and multi-scene images in practical applications. To tackle these challenges, we propose a novel end-to-end flexible ISTA-unfolding deep network, dubbed ISTA-Net++, with superior performance and strong flexibility. Specifically, by developing a dynamic unfolding strategy, our model enjoys the adaptability of handling CS problems with… 

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