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Cascaded Temporal Updating Network for Efficient Video Super-Resolution

By Hao Li and others
Existing video super-resolution (VSR) methods generally adopt a recurrent propagation network to extract spatio-temporal information from the entire video sequences, exhibiting impressive performance. However, the key components in recurrent-based VSR networks significantly impact model efficiency, e.g., the alignment module occupies a substantial portion of model parameters, while the bidirectional propagation... Show more
August 26, 2024
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Cascaded Temporal Updating Network for Efficient Video Super-Resolution
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