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Found 4 papers, 3 papers with code
XYDeblur: Divide and Conquer for Single Image Deblurring
Many convolutional neural networks (CNNs) for single image deblurring employ a U-Net structure to estimate latent sharp images.
Rethinking Coarse-to-Fine Approach in Single Image Deblurring
Coarse-to-fine strategies have been extensively used for the architecture design of single image deblurring networks.
Ranked #5 on
Deblurring
on RSBlur
W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
Recent research on learning a mapping between raw Bayer images and RGB images has progressed with the development of deep convolutional neural networks.
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization
As the complexity of state-of-the-art deep learning models increases by the month, implementation, interpretation, and traceability become ever-more-burdensome challenges for AI practitioners around the world.
