SZU-AdvTech-2023 / 200-Zero-Shot-Noise2Noise-Efficient-Image-Denoising-without-Any-Data

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Python Requirements

This code was tested on:

Training without using ground-truth data

run

python main.py -i {noisy_image_path}

The clean image will be generated under /output.