albert100121/AiFDepthNet
Official Pytorch implementation of ICCV 2021 2020 paper "Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision"
This project helps computer vision researchers and engineers accurately determine the distance of objects in a scene. It takes a series of images captured at different focus settings (a focal stack) and produces a detailed depth map and a single, perfectly clear "all-in-focus" image. This is useful for anyone working with 3D reconstruction, robotics, or augmented reality where precise depth information is crucial.
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Use this if you need to generate high-quality depth maps and all-in-focus images from focal stacks, especially for applications requiring precise spatial understanding.
Not ideal if you only have a single, standard image as input, as it requires a sequence of images captured with varying focus.
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Python
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Last pushed
Mar 09, 2024
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