Reyhanehne/CVF-SID_PyTorch
Official implementation of the paper "CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image" (CVPR 2022)
This project helps remove unwanted visual 'noise' from digital images, making them clearer without needing a perfectly clean original for comparison. You provide a noisy image, and it outputs a cleaner version of that image. This is useful for photographers, forensic imaging specialists, or anyone working with images captured in low-light or challenging conditions.
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Use this if you have noisy images and need to improve their quality without access to noise-free reference images.
Not ideal if you already have perfectly clean versions of your images to use for direct comparison, as other methods might be more straightforward.
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Python
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Last pushed
Oct 25, 2023
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