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BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring

By Fu-Jen Tsai* and others
Image motion blur usually results from moving objects or camera shakes. Such blur is generally directional and non-uniform. Previous research efforts attempt to solve non-uniform blur by using self-recurrent multi-scale or multi-patch architectures accompanying with self-attention. However, using self-recurrent frameworks typically leads to a longer inference time, while inter-pixel or... Show more
July 8, 2021
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BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
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