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.

[ICLR 2023] Selective Frequency Network for Image Restoration

Rankings include: ABME AdaFNIO ALANET AMT BiT BVFI CDFI CtxSyn DBVI DeMFI DQBC DRVI EAFI EBME EDC EDENVFI EDSC EMA-VFI FGDCN FILM FLAVR HiFI H-VFI IFRNet IQ-VFI JNMR LADDER M2M MA-GCSPA NCM PerVFI PRF ProBoost-Net RIFE RN-VFI SoftSplat SSR ST-MFNet Swin-VFI TDPNet TTVFI UGFI UPR-Net UTI-VFI VFIformer VFIFT VFIMamba VFIT VIDUE VRT

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

Revitalizing Convolutional Network for Image Restoration

Pytorch implementation of ICCV'23 paper "Generalizing Event-based Motion Deblurring in Real-World Scenarios"

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

A curated list of research papers and datasets related to image and video deblurring.

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

Digital image processing algorithms in Python3 and OpenCV

Image motion deblurring

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