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I use the following commands to prepare the environment.
> conda create -n pasd python=3.10
> conda activate pasd
> pip install -r requirements.txt
Because SD-1.5 is not available, so I download…
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I know that the project is still early in development and you have plenty more important jobs to be done, but... It would be awesome to set higher resolution than monitor can handle, but it would be s…
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Thank you for open sourcing this great work!
One of the great advantages I see in vocoders operating in the time domain is how easy it is to combine the vocoding task with superresolution. You just…
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Hi Talosh,
Not really a bug, just didn't know a better place to post this. I'm wondering if you could use the framework you have built here, to swap in an ML super resolution model for upscaling?
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Hi I've done a test and the results are only marginal -- as if someone had put some mild edge detection on each frame. Are there parameters I can tweak?
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While having a network predict super-resolution images from just the geo satellite images is probably not helpful, as it would be making up data that does not exist there, one option that could be kin…
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Hi,I have trained an image superresolution model and want to evaluate and test related indicators, such as PSNR, SSIM, FID, LPIPS, DISTS, MUSIQ, what should I do, can I use the example test script inf…
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Hi, I've been using FSR in my games, but I can't find an option to adjust Sharpness in game settings.
![image](https://user-images.githubusercontent.com/67164552/187688525-b589d175-ba8a-47cd-9758-974…
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Superresolution is a key part of our workflows: many images, particularly if cropped down to a face or figure, are just not big enough to train natively at a resolution like 512px or 1024px. Padding t…
gwern updated
3 years ago
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I was looking at the use of SinGAN for the superresolution of images. Usually, when I am using architectures like SRGAN, there is a training and inference stage. But, for the SinGAN superresolution ex…