xingyi123456 / dehaze-cGAN

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dehaze-cGAN

Run in Torch7 platform.

I'm very appreciative of your attention. Because the trained models may be produce some different effects in varying platforms and computers, I strongly suggest that you can adopt our trained model when restoring real world haze images. If you want to repeate our works on other platforms (e.g. Pytorch), please referrencing https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix and finishing other changes. This demo is only for learning and communication.

Testing: th test.lua

Training: th train.lua

#Trained model is available on Baidu Pan

链接:https://pan.baidu.com/s/1Xk6eLyNG7QSrvc9-P6r4RQ 密码:uagt

#Trained model on the dataset with random noise is also available on Baidu Pan

链接:https://pan.baidu.com/s/12lMkYjUsa2wX_muZKjVCHQ 密码:np71

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