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gcdn's Issues

License ?

Hi,

Your method seems promising, and I would like to know if you plan to add an open-source license (such as MIT or Apache-2.0) to your repo so it can be used elsewhere ?
If so, I plan to refer to it in my own project: https://github.com/titsitits/open-image-restoration
and I'll try to integrate your method (maybe replace NLRN by yours after some tests) to my restoration pipeline.

(it's very easy to add a license to your repo, you just need to upload a license.md file like this one: https://github.com/titsitits/open-image-restoration/blob/master/LICENSE.md
file raw version: https://raw.githubusercontent.com/titsitits/open-image-restoration/master/LICENSE.md )

Best regards,
Mickaël

Lighter/faster version ?

Hi,

I am testing your model, and I am trying to reduce the computational time. I already used your first recommendation (use only 1 thread). I am now struggling to reduce window size.
How can I easily reduce the patch_size and/or increase the stride of your method ? Can it be done without retraining the whole model ? (If so, how much time did it take with your hardware configuration (2x Nvidia Quadro P6000 (24 GB) ) ?

Many thanks,
Mickaël

Why precompute mask for local neighborhood?

I interest your work but have two questions in 'main.py'.
First, why precompute masks for local neighborhood?
Second, why leverage this manner to precompute the mask?
I'm a fresher for GCN. Thank you.

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