UnsupDIS-pytorch
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Order of warping image and reference image
Did you change the order of training and testing for UDIS-D(order of target image and warping image)? I found that the order of both coarse stitching and overlapping PSNR and SSIM are differnet from original implementation.
I have the same problem.
Yes. In practical scenarios (e.g., two images captured by two cameras simultaneously), the warping order does not matter. We are merely used to warping left-image to right-image, not the other way around (in the original implementation).
If you want to follow the original setting, just switch the data (image and mask) order manually in the code.