3260 papers • 126 benchmarks • 313 datasets
Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure. ( Credit: MemNet )
(Image credit: Open Source)
These leaderboards are used to track progress in super-resolution-34
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Use these libraries to find super-resolution-34 models and implementations
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