DeepUnrollNet
Image rectifier
A deep learning network designed to correct rolling shutter distortions in images
Deep Shutter Unrolling Network
46 stars
2 watching
7 forks
Language: Python
last commit: 9 months ago Related projects:
Repository | Description | Stars |
---|---|---|
| A Python project that uses IMU data to correct rolling shutter distortion in single-view images | 18 |
| Reconstructs images using untrained neural networks to manipulate and transform existing images | 216 |
| Reimplements a deep learning model to harmonize images from different illumination conditions | 150 |
| This repository provides code for an image generating deep neural network designed to produce concise representations of images from few parameters. | 96 |
| Deblurring technique using deep learning and Fourier transformation to remove image blur | 248 |
| An efficient RNN-based model for real-world video deblurring with a large-scale dataset and pre-trained models. | 322 |
| Software for enhancing satellite images through deep learning techniques | 76 |
| Develops a method to automatically detect and estimate defocus blur in images | 66 |
| This repository provides a Python implementation of a deep learning-based image deblurring algorithm. | 724 |
| An image deblurring technique based on frequency selection using machine learning models | 18 |
| A convolutional neural network architecture for biomedical image segmentation | 430 |
| This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 164 |
| A collection of GPU-accelerated deep learning algorithms implemented in Python | 895 |
| A software framework for single image deblurring using recursive kernels | 14 |
| Develops a deep learning model for single image deblurring with improved performance and computational efficiency | 382 |