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awesome-deblurring

A curated list of resources for Image and Video Deblurring

defocus-deblurring-dual-pixel

Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur.

dprr

Reflection Removal Using a Dual-Pixel Sensor, CVPR 2019

dual-pixel

dual-pixel-defocus-disparity

ifan

[CVPR 2021] Official PyTorch Implementation for "Iterative Filter Adaptive Network for Single Image Defocus Deblurring"

learntolearn

pytorch-distributed-training

Simple tutorials on Pytorch DDP training

rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

recurrent-defocus-deblurring-synth-dual-pixel

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Leveraging these realistic synthetic DP images, we introduce a new recurrent convolutional network (RCN) architecture that can improve defocus deblurring results and is suitable for use with single-frame and multi-frame data captured by DP sensors.