D2Net
by shangwei5
Bringing Events into Video Deblurring with Non consecutively Blurry Frames （ICCV2021）
AI summary
Video Deblurring Framework
Develops a framework to deblur video by leveraging non-consecutively blurry frames and proposes an event fusion module for improving deblurring performance.
- stars
- 35
- forks
- 4
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Image deblurring and frame interpolation algorithm
Develops algorithms to restore sharp images from blurry ones and interpolate missing frames in video sequences with improved accuracy
Motion Deblurring Method
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.
Face video deblurring algorithm
A method for deblurring face videos by leveraging 3D facial priors to account for facial structure and identity information.
Video deblurring method
This repository implements a deep learning-based video deblurring method using PyTorch.
Video deblurring algorithm
Deblurring algorithm for videos using a neural network
Motion Deblurring Tool
This repository provides code and models for a computer vision project that aims to improve the quality of videos by reducing motion blur.
Video Deblurring Algorithm
A video deblurring algorithm based on temporal sharpness prior using deep learning and cascaded inference process.
Video deblurring software
Restores video frames to sharp clarity by predicting sharper central images from blurry input.
Deblurring framework
A software framework for training and testing image deblurring models using a Straight Dilated Network with Wavelet Transformation.
Video deblurring model
An open-source implementation of a deep learning model for video deblurring and motion estimation.
Video deblurring technique
Develops techniques for restoring sharpness and clarity to blurry videos using deep learning
zzh-tech/bit225
Deblurring method
Develops a deep learning-based method for deblurring images and videos from motion blur
Video interpolator
Proposes a unified framework for event-based frame interpolation with ad-hoc deblurring in videos
Video deblurner
An efficient RNN-based model for real-world video deblurring with a large-scale dataset and pre-trained models.
Deblurer
A video deblurring algorithm using a deformable convolution network.
