Faster restoration of a single non-uniformly blurred image by using local and global data
Faster restoration of a single non-uniformly blurred image by using local and global data
Adaptive Single Image Deblurring
arXiv paper abstract https://arxiv.org/abs/2201.00155v1
arXiv PDF paper https://arxiv.org/pdf/2201.00155v1.pdf
This paper tackles the problem of dynamic scene deblurring.
Although end-to-end fully convolutional designs have recently advanced the state-of-the-art in non-uniform motion deblurring, ... comes with the burden of the increase in model size and inference speed.
... propose an efficient pixel adaptive and feature attentive design for handling large blur variations within and across different images.
... significantly improves the performance by considering not only the global dependencies of the pixel but also dynamically using the neighboring pixels.
... discover the spatial variations in the blur present in the input image and in turn perform local and global modulation of intermediate features.
... on deblurring benchmarks demonstrate the superiority of the proposed network.
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