A Deep Journey into Super-resolution

@article{Anwar2020ADJ,
  title={A Deep Journey into Super-resolution},
  author={S. Anwar and Salman Khan and N. Barnes},
  journal={ACM Computing Surveys (CSUR)},
  year={2020},
  volume={53},
  pages={1 - 34}
}
  • S. Anwar, Salman Khan, N. Barnes
  • Published 2020
  • Computer Science
  • ACM Computing Surveys (CSUR)
  • Deep convolutional networks based super-resolution is a fast-growing field with numerous practical applications. [...] Key Method We introduce a taxonomy for deep-learning based super-resolution networks that groups existing methods into nine categories including linear, residual, multi-branch, recursive, progressive, attention-based and adversarial designs.Expand Abstract
    Single Image Super-Resolution Based on Self-Attention
    Per-Image Super-Resolution for Material BTFs
    Learning Enriched Features for Real Image Restoration and Enhancement
    2
    Guided Dual Networks for Single Image Super-Resolution
    Image Colorization: A Survey and Dataset
    Weakly Aligned Joint Cross-Modality Super Resolution

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