motion-deblurring

There are 4 repositories under motion-deblurring topic.

subeeshvasu / Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
image-deblurring video-deblurring image-deconvolution stereo-deblurring burst-deblurring motion-blur kernel-estimation camera-shake deep-learning restoration deblurring defocus-deblurring motion-deblurring defocus-blur
2287
swz30 / Restormer
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
cvpr2022 defocus-deblurring efficient-transformers high-resolution image-deblurring image-deraining image-restoration low-level-vision motion-deblurring pytorch transformer
Language:Python 1574
c-yn / SFNet
[ICLR 2023] Selective Frequency Network for Image Restoration
computer-vision defocus-deblurring iclr2023 image-dehazing image-deraining image-restoration motion-deblurring pytorch frequency-selection image-desnowing
Language:Python 84
AIVFI / Video-Frame-Interpolation-Rankings-and-Video-Deblurring-Rankings
Rankings include: ABME AdaFNIO ALANET AMT BiT BVFI CDFI CtxSyn DBVI DeMFI DQBC DRVI EAFI EBME EDC EDENVFI EDSC EMA-VFI FGDCN FILM FLAVR H-VFI IFRNet JNMR LADDER M2M MA-GCSPA NCM PerVFI PRF ProBoost-Net RIFE RN-VFI SoftSplat SSR ST-MFNet TDPNet TTVFI UGFI UPR-Net UTI-VFI VFIformer VFIFT VFIT VIDUE VRT
video-frame-interpolation frame-interpolation video-interpolation rife interpolation deep-learning machine-learning computer-vision vapoursynth video-processing ncnn artificial-intelligence tensorrt low-level-vision video-restoration restoration deblurring motion-blur motion-deblurring video-deblurring
71
lingyanruan / LaKDNet
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
cnn defocus-deblurring high-resolution image-deblurring image-restoration motion-deblurring receptive-field transformer
Language:Python 66
ankitVP77 / Blind-Motion-Deblurring-for-Legible-License-Plates-using-Deep-Learning
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
deep-learning motion-deblurring weiner-filter point-spread-function
Language:Python 13
mnguyen0226 / dip_algorithms
Digital image processing algorithms in Python3 and OpenCV
opencv digital-image-processing image-augmentation image-shear intensity-transform local-histogram spatial-filtering frequency-filtering adaptive-median-filter motion-deblurring canny-edge-detection gaussian-pyramid laplacian-pyramid gaussian-laplacian-pyramid-blend ideal-bandpass-filter gaussian-bandpass-filter
Language:Python 4
williamcfrancis / Blind-Motion-Deblurring-for-Legible-License-Plates
A novel approach to blind motion deblurring by converting a non-blind method (Weiner Deconvolution) to a blind method using Deep Learning
computer-vision deep-learning motion-deblurring tensorflow wiener-filter
Language:Python 3
as791 / Deep-Generative-Filter-For-Motion-Deblurring-PyTorch
This repository contains the PyTorch implementation of the ICCV'17 Paper, "Deep Generative Filter for Motion Deblurring"
deep-generative-model gan motion-deblurring pytorch
Language:Jupyter Notebook 1
tanhaipeng / ImageRestoration
Image motion deblurring
motion-deblurring c-plus-plus matlab
Language:C++ 1