Single Image Reflection Removal Through Cascaded Refinement

@article{Li2020SingleIR,
  title={Single Image Reflection Removal Through Cascaded Refinement},
  author={Chao Li and Yixiao Yang and Kun He and Stephen Lin and John E. Hopcroft},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020},
  pages={3562-3571}
}
  • Chao LiYixiao Yang J. Hopcroft
  • Published 15 November 2019
  • Computer Science
  • 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
We address the problem of removing undesirable reflections from a single image captured through a glass surface, which is an ill-posed, challenging but practically important problem for photo enhancement. Inspired by iterative structure reduction for hidden community detection in social networks, we propose an Iterative Boost Convolutional LSTM Network (IBCLN) that enables cascaded prediction for reflection removal. IBCLN is a cascaded network that iteratively refines the estimates of… 

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