A curated list of resources for Image and Video Deblurring

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Rankings include: ABME, ALANET, AMT, BiT, CDFI, DBVI, DeMFI, DQBC, DRVI, EAFI, EBME, EDC, EDSC, EMA-VFI, FGDCN, FILM, FLAVR, H-VFI, IFRNet, JNMR, MA-CSPA, NCM, NIO, PRF, RIFE, SoftSplat, ST-MFNet, TTVFI, UPR-Net, VFIformer, VFIT, VRT

Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer

[ICLR 2023] Selective Frequency Network for Image Restoration

This project deals with blind motion deblurring using a combination of Weiner Deconvolution and Deep Learning techniques to estimate the length and angle parameter of the Point-Spread Function

Digital image processing algorithms in Python3 and OpenCV

A novel approach to blind motion deblurring by converting a non-blind method (Weiner Deconvolution) to a blind method using Deep Learning

The Image Restoration App is a web application powered by a custom-trained UNet model for image denoising and motion deblurring. Users can upload images and experience the seamless restoration process as the custom UNet model, trained from scratch, intelligently enhances image quality.

Image motion deblurring

This repository contains the PyTorch implementation of the ICCV'17 Paper, "Deep Generative Filter for Motion Deblurring"