St-EDNet recovers sharp images from misaligned blurry intensity images and event streams by performing coarse cross-modal stereo alignment followed by fine bidirectional feature reconstruction.
From motion blur to motion flow: A deep learning solution for removing heterogeneous motion blur,
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Learning Parallax for Stereo Event-based Motion Deblurring
St-EDNet recovers sharp images from misaligned blurry intensity images and event streams by performing coarse cross-modal stereo alignment followed by fine bidirectional feature reconstruction.