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
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.
[CVPR 2024] DyBluRF: Dynamic Neural Radiance Fields from Blurry Monocular Video
colab list for image
Convert models from GoldSource engine to Source engine with AI
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
colab list for video
Unofficial PyTorch implementation of DeepDeblur
Implementation of "Patch-Based Spatio-Temporal Deformable Attention BiRNN for Video Deblurring". (Zhang et al., TCSVT)
Add a description, image, and links to the deblur topic page so that developers can more easily learn about it.
To associate your repository with the deblur topic, visit your repo's landing page and select "manage topics."