deblur

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

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

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

An Wiener Filter Implementation for Image Processing Task

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

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

Convert models from GoldSource engine to Source engine with AI

Unofficial PyTorch implementation of DeepDeblur

Python package for a systems approach to blur estimation and reduction

Demo scripts for the python package pysaber

Deblur Image using Lucy Richardson Algorithm

Deblur, Pytorch, Pix2Pix

Image Deblurring using Generative Adversarial Networks

Deep Multi-scale CNN for Dynamic Scene Deblurring

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

Image Deblurring samples

deblur&blur