subeeshvasu / awesome-deblurring Goto Github PK

Hello There, can you please add this paper to this repository:

1. Revisiting Image Deblurring with an Efficient ConvNet
   Paper Link: https://arxiv.org/pdf/2302.02234.pdf
   Code Link: https://github.com/lingyanruan/LaKDNet

Thank you!

Sorry, the paper link to our project is wrong.
(Multi-image/Video)-Motion-Deblurring:
Spatio-Temporal Efficient Recurrent Neural Network for Video Deblurring (ECCV 2020)

The correct one is:
Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring
https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/5116_ECCV_2020_paper.php

And the code is available now as follows:
https://github.com/zzh-tech/ESTRNN

https://arxiv.org/abs/2208.09483

thanks for maintaining the excellent resource as well!

Is there any paper talking about RAW image/video deblurring? Thanks (RAM image instead of RGB image).

Could you add a reference to this list?

"Fast non-blind deconvolution via regularized residual networks with long/short skip-connections" by Son and Lee (in ICCP 2017).
Project page: http://cg.postech.ac.kr/research/resnet_deconvolution/

Thank you for the nice list

Paper Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels / DPSR is non-blind model-based SISR method which assumes the blur kernel is known.

cszn/DPSR#2

Could you please help us add the code link to this paper :
Motion Deblur with real events, ICCV 2021.

https://github.com/xufangchn/Motion-Deblurring-with-Real-Events

Thanks.

Lei

Hello, first of all, thank you for your efforts to collect and integrate resources. Will the latest articles on non-DL and DL image deblurring be updated？

@subeeshvasu This is a very useful list.
I would like to propose two additions, if you allow me:

• Reverse image filtering with clean and noisy filters with code available here
• Black-box image deblurring and defiltering with code available here (MATLAB) and here (Python)

They would belong to the category 'non-blind' (strictly speaking 'semi-blind'). These are non-DL methods.

Hi,
Thanks for your list.

Could you add the official code for the paper "Explore image deblurring via encoded blur kernel space"?
Here is the code: https://github.com/VinAIResearch/blur-kernel-space-exploring

Thanks.

Hello,

You might consider adding pmapper, an implementation of PMAP we have created at JPL. A relevant citation would be Multiframe Restoration Methods for Image Synthesis and Recovery, Joseph J. Green, Univ. of Arizona, PhD thesis

Cheers
-Brandon

The paper ‘‘Convolutional neural networks for direct text deblurring ’’ and ''Blind image deconvolution using deep generative priors'' were accepted by bmvc'15 and bmvc'19 respectively.
see:
http://www.bmva.org/bmvc/2015/papers/paper006/index.html
https://bmvc2019.org/wp-content/uploads/papers/1042-paper.pdf

Hi, thank you so much for the awesome summary!
We have upgraded and released the real video deblurring dataset BSD (more blur intensity and motion pattern settings, and better design of beam-splitter acquisition system).
So, could you please also put the following item:

in the following field:

Benchmark Datasets on Motion Deblurring

Thank you :)

You could add one more reference to this list:

MRF-based blind image deconvolution by Komodakis and Paragios

Link: http://imagine.enpc.fr/~komodakn/publications/docs/accv2012.pdf

Nice list! Thank you.

Please use the proper - or + or * instead for better Markdown

Hi Vasu, please help to change the following publications accordingly.

(1) For "Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring", please change the paper link to "https://github.com/ysnan/VEM-NBD/blob/master/paper/vem_deconv.pdf" as this is the newest version and add the project page with link "https://github.com/ysnan/VEM-NBD"

(2) For "Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution", please change the paper link to “https://github.com/ysnan/NBD_KerUnc/blob/master/paper/kn.pdf” and add the project page with link "https://github.com/ysnan/NBD_KerUnc"

I would also like to express my gratitude for setting up and maintaining this page for the collection of deblurring papers. It helps me a lot.

Hello, thank you for the awesome list!
Can you please add these two references to the list?
The codes will be released soon (I will ask for an update later).

[1] Motion-blurred Video Interpolation and Extrapolation (AAAI 2021)
https://arxiv.org/pdf/2103.02984.pdf

[2] Optical Flow Estimation from a Single Motion-blurred Image (AAAI 2021)
https://arxiv.org/pdf/2103.02996.pdf

Thanks a lot in advance :)

I would like to propose one additions, if you allow me:

https://openaccess.thecvf.com/content/ACCV2022/papers/Hu_Learning_to_Predict_Decomposed_Dynamic_Filters_for_Single_Image_Motion_ACCV_2022_paper.pdf