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bsrgan

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Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

  • UpdatedOct 2, 2024
  • Python

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

  • UpdatedDec 25, 2022
  • Python

Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.

  • UpdatedAug 14, 2021
  • Python

WindSR Dataset contains more than 22,000 pairs of HR/LR wind speed images, which are processed using the NASA's GEOS-5 Nature Run dataset. This dataset is useful for studying super-resolution for data collected using satellites rather natural RGB images.

  • UpdatedJan 18, 2024

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