deblur

The state-of-the-art image restoration model without nonlinear activation functions.

This repository contains a paper collection of the methods for document image processing, including appearance enhancement, deshadowing, dewarping, deblurring, binarization and so on.

The Official Implementation for "HAIR: Hypernetworks-based All-in-One Image Restoration".

Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

[ECCV2022] Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance

"MBA-SLAM: Motion Blur Aware Dense Visual SLAM with Radiance Fields Representation"

Implementation of "Spatio-Temporal Deformable Attention Network for Video Deblurring". (Zhang et al., ECCV 2022)

Amplicon sequence processing workflow using QIIME 2 and Snakemake

🚀 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

Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.

A PyTorch implementation of the "Deblurring by Realistic Blurring", unofficially

[CVPR 2024] DyBluRF: Dynamic Neural Radiance Fields from Blurry Monocular Video

Convert models from GoldSource engine to Source engine with AI

colab list for image

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

Python package for a systems approach to blur estimation and reduction

Unofficial PyTorch implementation of DeepDeblur

colab list for video

Implementation of "Patch-Based Spatio-Temporal Deformable Attention BiRNN for Video Deblurring". (Zhang et al., TCSVT)