There are 3 repositories under deblur topic.
The state-of-the-art image restoration model without nonlinear activation functions.
Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
[ECCV2022] Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
This repository contains a paper collection of the methods for document image processing, including appearance enhancement, deshadow, dewarping, deblur, and binarization.
Implementation of "Spatio-Temporal Deformable Attention Network for Video Deblurring". (Zhang et al., ECCV 2022)
Amplicon sequence processing workflow using QIIME 2 and Snakemake
:rocket: 这是一个票据自动识别处理的仓库,希望对有类似业务需求的同学有借鉴意义
An Wiener Filter Implementation for Image Processing Task
A PyTorch implementation of the "Deblurring by Realistic Blurring", unofficially
Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.
Convert models from GoldSource engine to Source engine with AI
[CVPR 2024] DyBluRF: Dynamic Neural Radiance Fields from Blurry Monocular Video
colab list for video
Unofficial PyTorch implementation of DeepDeblur
Pre-Recognition Library.
Codes for face quality enhancement methods
Demo scripts for the python package pysaber
Here we discuss strategies and workflows to analyse metagenomics datasets
Simple but effective implementation of a neural networks able to remove blur from images.
Implementation of "Patch-Based Spatio-Temporal Deformable Attention BiRNN for Video Deblurring".
License Plate Recognition using YOLOv8 + EasyOCR + NAFNet
Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
Restoration of defocused and blurred photos/images