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, deshadow, dewarping, deblur, and binarization.
Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
The Official Implementation for "HAIR: Hypernetworks-based All-in-One Image Restoration".
[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
Convert models from GoldSource engine to Source engine with AI
colab list for image
Unofficial PyTorch implementation of DeepDeblur
A curated list of research papers and datasets related to image and video deblurring.
colab list for video
Python package for a systems approach to blur estimation and reduction
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