CDVD-TSP
Video Deblurring Algorithm
A video deblurring algorithm based on temporal sharpness prior using deep learning and cascaded inference process.
The repository is an official implementation of our CVPR2020 paper : Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
261 stars
7 watching
49 forks
Language: Python
last commit: over 3 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 xuboming8/dstnet | This repository implements a deep learning-based video deblurring method using PyTorch. | 68 |
 shuochsu/deepvideodeblurring | Restores video frames to sharp clarity by predicting sharper central images from blurry input. | 192 |
 csjcai/dbcpenet | Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions. | 20 |
 zzh-tech/bit | Develops a deep learning-based method for deblurring images and videos from motion blur | 225 |
 huicongzhang/stdan | Deblurring algorithm for videos using a neural network | 52 |
 codeslake/realtime_vdblr | An official implementation of a PyTorch-based video deblurring algorithm using motion compensation | 51 |
 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 |
| codeslake/pvdnet | An open-source implementation of a deep learning model for video deblurring and motion estimation. | 114 |
 themathgeek13/stdeblur | A PyTorch implementation of spatiotemporal deblurring using adversarial learning | 18 |
 pp00704831/stripformer-eccv-2022- | An implementation of an image deblurring algorithm using a transformer-based model | 94 |
 ustclby/unsupervised-domain-specific-deblurring | Deblurs images by separating the degradation from the content information without paired training data | 109 |
 kkkls/fftformer | An image deblurring method using transformer architecture | 265 |
 zhihongz/infwide | A deep learning-based image deblurring method designed to handle low-light conditions | 13 |
 limacv/deblur-nerf | An implementation of a method to restore sharp images from blurry input images using neural networks. | 264 |
 minyuanye/siun | This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 164 |