The state-of-the-art image restoration model without nonlinear activation functions.
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Updated
Jul 3, 2024 - Python
The state-of-the-art image restoration model without nonlinear activation functions.
Amplicon sequence processing workflow using QIIME 2 and Snakemake
[CVPR 2024] DyBluRF: Dynamic Neural Radiance Fields from Blurry Monocular Video
License Plate Recognition using YOLOv8 + EasyOCR + NAFNet
[ECCV2022] Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
Python package for a systems approach to blur estimation and reduction
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
Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.
Simple but effective implementation of a neural networks able to remove blur from images.
Unofficial PyTorch implementation of DeepDeblur
Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
Demo scripts for the python package pysaber
Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"
Image Deblurring using Generative Adversarial Networks
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