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Hello!
Recently,i read the paper of DBPN,i think it's a perfect job. Then i try to run your code to achieve your result at the paper but still a little gap approximately 1.5dB.
So i have a question which hope you can teach me something about it .
I want to know which the train dataset you use for this work : DIV2K? Flickr? ImageNet dataset? or use all of them ?
Best wishes to you!
Thankyou!
The text was updated successfully, but these errors were encountered:
Thank you for answering my question.
I train the network use the model of DBPN-LL , the dataset i use to train for my net is DIV2K and Flickr30K , i have test your model with the Set5 dataset but the result is still a gap with the paper's result.
So i want to know which dataset you use to train your net to achieve your paper's result(PSNR) ?
Hope you can talk something about it. Thank you very much .
Best wishes to you!
Thankyou!
Hello!
Recently,i read the paper of DBPN,i think it's a perfect job. Then i try to run your code to achieve your result at the paper but still a little gap approximately 1.5dB.
So i have a question which hope you can teach me something about it .
I want to know which the train dataset you use for this work : DIV2K? Flickr? ImageNet dataset? or use all of them ?
Best wishes to you!
Thankyou!
The text was updated successfully, but these errors were encountered: