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bsrgan

Here are 3 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 May 4, 2022
Python

victorca25 / traiNNer

Open

[Feature Request] Curriculum Training for Augmentations

kimberly990 commented Oct 1, 2021

The ability to change which augmentation preset is being used at different points in training would be great. For example, at 10k iterations, resrgan_blur could be used, but at 30k it's automatically switched to bsrgan_blur.

This was discussed in the #trainner channel on the GU Discord server

Edit: A possible expansion on this idea, augmentation preset strengths. I'm not sure how it'd functi

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enhancement good first issue

victorca25 / augmennt

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

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