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DynGhost: Temporally-Modelled Transformer for Dynamic Ghost Imagings
Ghost imaging reconstructs spatial information from a single-pixel bucket detector by correlating structured illumination patterns with scalar intensity measurements. While deep learning approaches have achieved promising results on static scenes, two critical limitations remain unaddressed: existin
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