EFNet
Motion deblurring network
An end-to-end image restoration network that uses event-camera data to improve motion deblurring
Event-based Fusion for Motion Deblurring with Cross-modal Attention (ECCV'22 Oral) https://ahupujr.github.io/EFNet/
145 stars
4 watching
15 forks
Language: Python
last commit: about 1 year ago deblurringeccv2022event-cameraimage-restorationoral
Related projects:
Repository | Description | Stars |
---|---|---|
huicongzhang/stdan | Deblurring algorithm for videos using a neural network | 52 |
joanshen0508/ha_deblur | A dataset and algorithm for deblurring images of moving scenes, specifically designed to handle dynamic blurs caused by camera movement and object motion. | 72 |
ahupujr/refid | Proposes a unified framework for event-based frame interpolation with ad-hoc deblurring in videos | 32 |
lingyanruan/lakdnet | An image deblurring model that revisits the use of convolutional neural networks to improve efficiency and performance compared to transformers. | 97 |
vita-group/deblurganv2 | An end-to-end generative adversarial network (GAN) for single image motion deblurring | 1,037 |
zzh-tech/estrnn | An efficient RNN-based model for real-world video deblurring with a large-scale dataset and pre-trained models. | 318 |
xufangchn/motion-deblurring-with-real-events | Develops methods to restore blurry motion sequences from real-world events | 33 |
tencentcloud/erdn | A video deblurring algorithm using a deformable convolution network. | 10 |
xuboming8/dstnet | This repository implements a deep learning-based video deblurring method using PyTorch. | 64 |
rozumden/defmo | A deep learning framework for deblurring and recovering the shape of fast-moving objects from blurred images | 170 |
wu-cvgl/bad-nerf | A system that jointly learns 3D representation and camera motion from blurry images to generate sharp images | 189 |
fangzhenxuan/ufpdeblur | An image deblurring algorithm that leverages flow-based motion prior and kernel estimation for blind image restoration. | 28 |
seungjunnah/deepdeblur_release | A deep learning-based image deblurring system designed to remove blur from dynamic scenes. | 681 |
xiangz-0/gem | This project proposes a method to generalize event-based motion deblurring in real-world scenarios using a scale-aware network and a two-stage self-supervised learning scheme. | 31 |
shangwei5/d2net | Develops a framework to deblur video by leveraging non-consecutively blurry frames and proposes an event fusion module for improving deblurring performance. | 35 |