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Video Super-Resolution (VSR) aims to recover high-resolution (HR) video frames from low-resolution (LR) inputs. A major challenge in VSR is that LR frames often suffer from blur (due to motion or out-of-focus cameras) and complex motion trajectories. Traditional methods often fail to reconstruct sharp details because they assume simple motion models or fail to account for the blur kernel in the LR frames. In conclusion, HDKing Updated is a worthy update
The authors propose HDKing , a deep learning approach that explicitly models the blur kernel . The authors propose HDKing , a deep learning
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