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python test_sr.py -i ./Testsets/LQsWithText -m
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Input Path : ./Testsets/LQsWithText
Save Path : ./Te…
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Hey there !
Nice work on using perceptual loss for image compression using NN.
I had something similar in mind and thought of trying. I came across your code and found it interesting that you ha…
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The idea of the similarity function is to compare what the network "sees" in our image gluing to what it "sees" in the target picture. To do this, the idea is to take a publicly available pretrained n…
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Why describe this algorithm an as upscaling algorithm and not a sharpening algorithm? From what I understand it doesn't have anything to do with the actual scaling process and relies on conventional s…
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Hi @pkuxmq
Thanks for your amazing work.
I am trying to run the test code with LQ mode, ie. merely low resolution images are provided. it seems that this mode hasn't been tested, say, LQ_dataset is…
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**upsampling/deconvolution**
- [Upsampling and Image Segmentation with Tensorflow and TF-Slim](http://warmspringwinds.github.io/tensorflow/tf-slim/2016/11/22/upsampling-and-image-segmentation-with-…
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hello PhD. TIAN,it's an amazing work.But when I tested the blind image super-resolution, I didn't get the same results as the low-resolution image.My folder directory is as follows:
![image](https://…
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SinGAN is a very impressive work. But in the SR mode, I do not understand the reason why SinGAN is able to generate the correct SR image. I mean, not only the correct image size but the position of ob…
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Is there a particular fashion in which a dataset such as FFHQ needs to be prepared before passing as an argument when running train.py?
I did a quick test just pointing it at a folder full of the F…
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几个目标:
- better
- model
- balancing
- faster