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GitHub / aman-095 / Single-Image-Super-Resolution-using-ESRGAN

Using an already existing ESRGAN model, degrading our HR images to generate training data for finetuning and further checking the MSE and PSNR for the generated and the original HR images. Link to the original link of Real ESRGAN Repo - https://github.com/xinntao/Real-ESRGAN

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aman-095%2FSingle-Image-Super-Resolution-using-ESRGAN

Stars: 2
Forks: 1
Open Issues: 0

License: mit
Language: Jupyter Notebook
Repo Size: 4.36 MB
Dependencies: 0

Created: about 2 years ago
Updated: 10 months ago
Last pushed: over 1 year ago
Last synced: 10 months ago

Topics: averaging-filter, esrgan, gaussian-blur, image-degradation, medical-imaging, super-resolution

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