TSFormer prunes attention tokens via Min-p sampling and a learned threshold gate, achieving competitive UHD restoration with 3.38M parameters and faster inference than prior models.
Ultra-high-definition video streaming and surveillance: Challenges and trends
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TSFormer: A Robust Framework for Efficient UHD Image Restoration
TSFormer prunes attention tokens via Min-p sampling and a learned threshold gate, achieving competitive UHD restoration with 3.38M parameters and faster inference than prior models.