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  1. PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

    Python 876 259

  2. Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

    Lua 399 95

  3. A list of resources for video enhancement, including video super-resolutio, interpolation, denoising, compression artifact removal et al..

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  4. PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"

    Python 246 42

  5. TensorFlow code for our ICCV 2019 paper "Multimodal Style Transfer via Graph Cuts"

    Python 34 9

  6. Matlab code for Collaborative Representation Cascade for Single-Image Super-Resolution

    MATLAB 11 5

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January 2021

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