PSNR of my reproduced result on LOLdataset is different from your paper.

[fireenderman]

Hi, thanks for your work and release code. I run your code on LOLdataset and get different PSNR results from yours. In your paper:

I load your pretrained model ./ckpt/lol.pt and run test.py on eval15, BrighteningTrain, and our485 of LOLdataset, keeping all running arguments default. But the results of PSNR of these three folders are:

BrighteningTrain: 13.1343963,
our485: 14.1709691,
eval15: 16.4047298

I have tried to run train_search.py and train.py, then test with retrained network architecture and checkpoint file. But the results are:

BrighteningTrain: 12.6974954911497,
our485: 10.813183709390762,
eval15: 11.47653244449286

Could you please release your detailed training and testing arguments, and other details of running your code to help reproduce your results?

[Carlyx]

Hi !
Similarly, we use the pretrained model ./ckpt/lol.pt on LOL eval15, and get the 16.50/0.503 for PSNR/SSIM.

[Dong1P]

Hi,
I also have a similar results!
Could you please release your detailed training or open the test data?

[LeiGitHub1024]

Hi, dluter
I also have a similar results!
by the way, after testing, the PSNR values of other methods(mbllen, KinD ...) were found to be significantly different from the actual PSNR values.

Can you explain why ? ? ?

The value in this survey is consistent with my test.
https://arxiv.org/abs/2104.10729

[cuteankit]

Can any one please tell me how to implement this repo.