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View Code? Open in Web Editor NEW[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
License: Other
[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
License: Other
Really interesting work! I would love to try it out...
But it seems test.py
is missing? (as pointed out also in #2)
hi,is there no registration test code here?
Where is test code?
Hi,
Would you mind releasing your self-trained model,please?
where is test code ?
Hi,
I want to try a deformation field based registration network,but I did not find unet_stn.py,can you release it?
extremely grateful !
I use the pretrained model "/checkpoints/experiment_name/latest_net_R.pth" to my dataset, but the image generated are all value of zero?
Thanks for your paper and offering this code. I'm building on your code and modifying it for a different domain that has lower frequency textures than the plant images you used. I was wondering, how did the quality of your generated visible and/or thermal images turn out? I don't recall (and sorry if you reported it and I didn't see it), in your paper, if you reported FID scores or other metrics about the quality of the generated images. Thanks!
Hello, could you provide the dataset you used or how can we get access to the commercial dataset? Appreciate it!
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