bsrgan

Here are 7 public repositories matching this topic...

cszn / KAIR

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

deep-learning pytorch toolbox super-resolution image-restoration denoising dncnn sisr srmd flops esrgan usrnet ffdnet dpsr bsrgan swinir

Updated Oct 2, 2024
Python

victorca25 / traiNNer

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

convolutional-neural-networks pix2pix super-resolution upscale image-restoration deblurring denoising cyclegan esrgan cartoonization srflow real-esrgan bsrgan real-sr

Updated Dec 25, 2022
Python

victorca25 / augmennt

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

opencv computer-vision image-processing pytorch super-resolution data-augmentation superpixels denoise deblur anisotropic unprocessing-images real-esrgan bsrgan

Updated Aug 14, 2021
Python

detektor777 / colab_list_image

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colab list for image (upscale, enhance, generation)

Updated Sep 26, 2026
Jupyter Notebook

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.