There are 4 repositories under motion-deblurring topic.
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.
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
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
This repository contains the PyTorch implementation of the ICCV'17 Paper, "Deep Generative Filter for Motion Deblurring"