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
Revitalizing Convolutional Network for Image Restoration
ABME AdaFNIO AMT BiM-VFI BiT CBBD CDFI CtxSyn DBVI DC-BVFI DQBC DRVI DvP EAFI EBME EDC EDEN EDENVFI EDSC EMA-VFI FGDCN FILM FLAVR GIMM-VFI HFD HiFI H-VFI IFRNet InterpAny-Clearer IQ-VFI JNMR LADDER M2M MA-GCSPA MoMo PerVFI RIFE RN-VFI SepConv SoftSplat SSR ST-MFNet Swin-VFI TDPNet TLB-VFI TTVFI UGFI UPR-Net VFIformer VFIFT VFIMamba VFIT VRT XVFI
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
[CVPR 2025] Official code of "DiET-GS: Diffusion Prior and Event Stream-Assisted Motion Deblurring 3D Gaussian Splatting"
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
StarIR: Convolutional Image Restoration with Spatial-Frequency Fusion
A curated list of research papers and datasets related to image and video deblurring.
Repo for Neuromorphic Imaging with Joint Image Deblurring and Event Denoising, IEEE TIP, 2024.
A novel approach to blind motion deblurring by converting a non-blind method (Weiner Deconvolution) to a blind method using Deep Learning
Repo for Neuromorphic Imaging with Super-Resolution, IEEE TCSVT, 2025.
Digital image processing algorithms in Python3 and OpenCV
This repository features an image sharpening pipeline using Knowledge Distillation. A high-capacity Restormer acts as the teacher model, while a lightweight Mini-UNet is trained as the student to mimic its performance.
This repository contains the PyTorch implementation of the ICCV'17 Paper, "Deep Generative Filter for Motion Deblurring"
Python CLI for batch image deblurring, image restoration, deconvolution, and classical computer vision. Includes Wiener, Richardson-Lucy, Tikhonov, TV-ADMM, and unsupervised Wiener methods; motion/Gaussian/box/custom PSFs; recursive OpenCV/scikit-image processing; color/grayscale support, edge padding, presets, and JSON reports.
About [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
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