Shypd.aiThe largest open index of AI toolsdeep-image-prior is an open-source tool for image restoration using neural networks without explicit training. It provides Jupyter Notebooks to reproduce figures from the Deep Image Prior paper.
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deep-image-prior is an open-source project that offers a novel approach to image restoration using neural networks, notably without requiring a traditional learning phase. It leverages the inherent structure of convolutional neural networks as a prior for image reconstruction. The repository provides Jupyter Notebooks that allow users to reproduce figures and experiments from the associated 'Deep Image Prior' CVPR 2018 paper. This includes notebooks for tasks like denoising, inpainting, super-resolution, and activation maximization. Users should be aware that optimization may not converge on some GPUs, and it's recommended to verify results against the paper's findings, potentially by adjusting precision settings or disabling cudnn.
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