brade31919/SRGAN-tensorflow
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
This project helps anyone working with images that need to look sharper and more detailed from a lower-quality original. It takes a blurry, pixelated, or low-resolution image and transforms it into a photo-realistic, higher-resolution version. This is useful for graphic designers, photographers, or researchers who need to enhance image quality for display, analysis, or publication.
858 stars. No commits in the last 6 months.
Use this if you have existing low-resolution images and need to significantly improve their visual quality and detail to appear high-resolution and photo-realistic.
Not ideal if you need extremely precise, artifact-free upscaling for scientific measurement, or if you're not comfortable with command-line tools and basic Python/TensorFlow setup.
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858
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278
Language
Python
License
MIT
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Last pushed
May 12, 2023
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