jiangsutx/SRN-Deblur
A deep neural network for removing blur from images using a scale-recurrent architecture.

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This repository implements the SRN-Deblur model from CVPR 2018, a deep learning approach to image deblurring. The network uses scale-recurrent mechanisms to progressively restore sharp images from blurry inputs across multiple resolution scales. Built with TensorFlow 1.4, it requires GPU for efficient processing and accepts blurry images to output deblurred results.