blur-kernel-space-exploring
Deblurring
An image deblurring method using encoded blur kernel space
Exploring Image Deblurring via Blur Kernel Space (CVPR'21)
151 stars
7 watching
35 forks
Language: Python
last commit: almost 2 years agocomputer-visiondeblurringdeep-learningpythonpytorch
Related projects:
| Repository | Description | Stars |
|---|---|---|
| Provides results and tools for image deblurring using CNNs to handle kernel uncertainty | 5 | |
| Implementation of an algorithm for single image deblurring in images with defocus blur | 228 | |
| A comprehensive benchmark dataset for image deblurring | 28 | |
| A dataset and algorithm for deblurring images of moving scenes, specifically designed to handle dynamic blurs caused by camera movement and object motion. | 72 | |
| An implementation of a method to restore sharp images from blurry input images using neural networks. | 264 | |
| A system that jointly learns 3D representation and camera motion from blurry images to generate sharp images | 192 | |
| Deblurring technique using deep learning and Fourier transformation to remove image blur | 248 | |
| An image deblurring technique based on frequency selection using machine learning models | 18 | |
| Develops a deep learning-based method to detect and remove defocus blur from images | 17 | |
| A Python implementation of a deblurring model using realistic blurring techniques. | 63 | |
| Develops a deep learning-based method for deblurring images and videos from motion blur | 225 | |
| An open-source implementation of a deep learning model for video deblurring and motion estimation. | 114 | |
| Computes deblurred images from blurry ones using deep residual prior and uncertainty-aware approach | 57 | |
| This repository provides an implementation of an image deblurring method using realistic blur synthesis. | 88 | |
| Restores degraded images by combining multiple tasks of dehazing, denoising and deraining in a single framework | 176 |