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
[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)
Amplicon sequence processing workflow using QIIME 2 and Snakemake
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
Unofficial PyTorch implementation of DeepDeblur
Python package for a systems approach to blur estimation and reduction
Demo scripts for the python package pysaber
Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
License Plate Recognition using YOLOv8 + EasyOCR + NAFNet
Image Deblurring using Generative Adversarial Networks
Simple but effective implementation of a neural networks able to remove blur from images.
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