training.yml for LOL enhancement

swz30 / MIRNet

[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

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training.yml for LOL enhancement #21

Open Seeyn opened 3 years ago

Seeyn commented 3 years ago

Thanks for your excellent works! I'm trying to reproduce your enhancement result. Can you please share training.yml for training the enhancement model for the LOL dataset? Because I can only obtain PSNR 20.69 if I use the training setting of training.yml you share in this repository.

xyIsHere commented 3 years ago

Dear author, Thank you for your great work and the results look quite good. I also try to reproduce the results of the low-light enhancement experiments. I saw the MixUp_AUG is applied in the denoising training code. Does the enhancement also use this function for data augmentation?

swz30 commented 3 years ago

Hi @xyIsHere We do use MixUP_Aug for image enhancement as well.

Hi @Seeyn Please refer to #11