There are 12 repositories under image-deblurring topic.
A curated list of resources for Image and Video Deblurring
The state-of-the-art image restoration model without nonlinear activation functions.
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation
This is a survey that reviews deep learning models and benchmark datasets related to blind motion deblurring and provides a comprehensive evaluation of these models.
A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction
Code for paper: Memory Augment is All Your Need for image restoration(cloud,rain,shadow removal, low-light image enhancement, image deblur)即插即用提点的记忆模块
A Collection of Low Level Vision Research Groups
On-Demand Learning for Deep Image Restoration (ICCV 2017)
Image deblurring with Convolutional Neural Networks. Scripts & Neural network models available here
Restore Anything Pipeline (RAP): Segment Anything Meets Image Restoration
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
A curated list of resources for Low-level Vision Tasks
Tensorflow implementation of MemNet(http://cvlab.cse.msu.edu/pdfs/Image_Restoration%20using_Persistent_Memory_Network.pdf).
deep learning models trained to denoise/deblur text images (signle frame, multi-frame) [pytorch]
Multi-scale network for image deblurring
PyTorch implementation of image deblurring using deep learning. Use a simple convolutional autoencoder neural network to deblur Gaussian blurred images.
PyTorch implementation of OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network (WACV 2021)
“Disparitybased space-variant image deblurring,” Signal Processing: Image Communication, vol. 28, no. 7, pp. 792–808, 2013.
Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024)