Egkang-Luis/BurstM
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow
This helps enhance the resolution of a sequence of blurry, low-resolution images, like frames from a video, into a single, sharp, high-resolution image. It takes multiple low-quality frames as input and produces a single, clearer, more detailed image. This would be used by researchers or engineers working with image and video processing, computer vision, or digital imaging applications.
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Use this if you need to significantly improve the detail and clarity of video frames or image bursts where individual frames are low-resolution or slightly misaligned.
Not ideal if you only have a single low-resolution image and don't have multiple frames or a 'burst' of images to work with.
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34
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Language
Python
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Last pushed
Sep 30, 2024
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