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
[ECCV2022] Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
The Official Implementation for "HAIR: Hypernetworks-based All-in-One Image Restoration".
Implementation of "Spatio-Temporal Deformable Attention Network for Video Deblurring". (Zhang et al., ECCV 2022)
"MBA-SLAM: Motion Blur Aware Dense Visual SLAM with Radiance Fields Representation"
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
colab list for video
Unofficial PyTorch implementation of DeepDeblur
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
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