VEM-NBD
Image deblurring library
Provides pre-trained models and benchmark results for noise-blind image deblurring, allowing developers to test and compare different approaches.
Project page of the paper 'Variational-EM-based Deep Learning for Noise-blind Image Deblurring' (CVPR 2020)
14 stars
1 watching
0 forks
Language: Python
last commit: over 4 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| Provides results and tools for image deblurring using CNNs to handle kernel uncertainty | 5 | |
| A repository providing pre-trained models and results for image deconvolution in the presence of kernel/model uncertainty | 14 | |
| An image deblurring technique based on frequency selection using machine learning models | 18 | |
| This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 164 | |
| Develops a deep learning model for single image deblurring with improved performance and computational efficiency | 382 | |
| This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. | 602 | |
| A deep learning framework for deblurring and recovering the shape of fast-moving objects from blurred images | 171 | |
| A Python-based framework for training and evaluating deep learning models for single-image deblurring, shape, and trajectory recovery of fast-moving objects. | 5 | |
| Deblurs images by separating the degradation from the content information without paired training data | 109 | |
| Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions. | 20 | |
| This repository provides a Python implementation of a deep learning-based image deblurring algorithm. | 724 | |
| Deblurring algorithm for videos using a neural network | 52 | |
| A deep learning-based method to improve the quality of blurry face images by leveraging semantic segmentation and uncertainty guidance. | 119 | |
| Implementation of an algorithm for single image deblurring in images with defocus blur | 228 | |
| Developing a deep learning model to correct blurry images caused by camera shake or out-of-focus | 185 |