pytorch-zssr
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PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
I set "lincoln.png" in the example folder as input and run the code. It turns out that the result is hardly different from the input LR. I took a brief...
Hi, so I compared the code (overall skeletal structure) with the original repository that was written in TensorFlow and a lot of concepts like kernel implementation, hr-father, lr-sons etc.. weren't...
I use the defalut parameters. lr = 1e--5 nums = 15000 in fact, I test in Set14,and get the results as: x2,psnr:29.75,ssim:0.88 however, the original txt is: x2,psnr:33.00,ssim:0.9108. I want...
I ran everything with default settings just to test the code ( `run train.py --img lincoln.png`). I got the 2x enlarged image. Then I used this 2x image as input...
I was wondering if you had a chance to look into the kernel estimation part of the paper, as that is what really lets ZSSR be more useful than other...