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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.
Fast and Accurate 3D Hand Pose Estimation via Recurrent Neural Network for Capturing Hand Articulations
In this paper, we propose a hierarchically-structured convolutional recurrent neural network (HCRNN) with six branches that estimate the 3D position of the palm and five fingers independently.
