milenagazdieva/OT-Super-Resolution
Pytorch implementation of "An Optimal Transport Perspective on Unpaired Image Super-Resolution" (JOTA 2025)
This project offers a method for enhancing the resolution of images when you don't have perfectly matched low and high-resolution pairs. It takes your existing low-resolution images and produces corresponding high-resolution versions, improving visual detail. This is useful for researchers or engineers working with image processing who need to upscale images for various applications.
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Use this if you need to upscale images to a higher resolution, especially when you only have unpaired sets of low-resolution and high-resolution examples.
Not ideal if you already have perfectly paired low and high-resolution images for training, or if you need to perform other image-to-image translation tasks beyond super-resolution.
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MIT
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Last pushed
Jul 08, 2025
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