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View Code? Open in Web Editor NEWMoire Removal via Attentive Fractal Network, CVPRW 2020
Moire Removal via Attentive Fractal Network, CVPRW 2020
AFN paper states the following:
AFN competed in track1 and track2 of "NTIRE 2020 Challenge on Image and Video Deblurring" with the results:
I have 2 questions:
Thank you!
I wanted to test the model quickly and wasn't confident in the level of my training model. Could you share your model
hi, it's a pleasure reading your paper, In your readme, I got the website of NTIRE2020 dataset , But I can't downloading the dataset(Maybe it's because the competition is over ), Could you share me the dataset, thanx
Thanks for your great work for Demoireing. After reading your paper and the code. I still have some question. In the paper, is AFN++ a two cascaded AFN1(stage 1) and AFN2(stage 2) network? When the AFN1 trained completely, and then start training the AFN2. Does this mean the parameters of AFN1 in the stage 2 are fixed and are’t updated? Only upade the AFN2’s parameters?
Also, in your paper, in the stage 2, “augment the input image using flip, transpose and rotate operations” and get the responding generating coarse results from AFN1. But I haven’t seen the related code for the stage 2. Do I miss something else?
Thanks for your reply.
Hello.
Could you share the pretrained model, please?
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