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The-Learning-And-Vision-Atelier-LAVA / DASR

[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution
MIT License
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We reproduce your code and PSNR is far lower than your paper claimed. #75

Open aabb-cc opened 2 years ago

aabb-cc commented 2 years ago

Hi, Longguang! Thanks for your interesting work and sharing your code! As we reproduce your code, the best PSNR results on Set14 as sigma=3.6 is 27.01 dB while what your paper claimed is 27.45 dB! I know your model can perform well as sigma is small. However, as the sigma become large, there is a big performance gap between our reproduced results and your paper giving results. My colleague also reproduce your code many times, but the same problems still exists!

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The same problems seems proposed in the https://github.com/The-Learning-And-Vision-Atelier-LAVA/DASR/issues/38. So can your tell me the error of our training command, shown as below? If there is no problem, for your academic reputation, I hope you reproduce your code again and evaluate your model on 4x Set14! Thanks!

training: python main.py --dir_data='/media/datasets' \ --model='blindsr' \ --scale='4' \ --blur_type='iso_gaussian' \ --noise=0.0 \ --sig_min=0.2 \ --sig_max=4.0 \ --sig 3.6 \ --n_GPUs 2 test: python test.py --test_only \ --dir_data='/media/datasets' \ --data_test='Set14' \ --model='blindsr' \ --scale='4' \ --resume=600 \ --n_GPUs=1 \ --save 'test'\ --blur_type='iso_gaussian' \ --sig=3.6

jjlinghu commented 1 year ago

I meet the same situation as you. Did you solve the problem， can you tell me how you do it, please!

24324239 commented 6 months ago

I meet the same situation. Did you solve it?