DASR super resolution model that responds to various image degradations

GitHub - The-Learning-And-Vision-Atelier-LAVA/DASR: [CVPR 2021] Unsupervised Degradation…

This is the original image 128*171

If you stretch it to make it easier to see, the pixels will appear jagged.

jagged

When this is scaled 4 times (512*684) with DASR

DASR

If you compare the necklace and the background, I think you can see that it is quite clear.

There are all kinds of images in the world, and there are many kinds of deterioration. I’m trying to respond to that.

How to use

install

git clone https://github.com/The-Learning-And-Vision-Atelier-LAVA/DASR.git
cd DASR

execution

!python quick_test.py --img_dir='your_dir/your_image.jpg' --scale='4' --resume=600 --blur_type='aniso_gaussian'

Pretrained models are included in the repository.
The execution time is fast at 0.2 seconds (T4) for 256*256.

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