BANet-TIP-2022
Deblurring model
A PyTorch implementation of an attention network for dynamic scene deblurring
37 stars
2 watching
2 forks
Language: Python
last commit: 7 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 chosj95/mimo-unet | Develops a deep learning model for single image deblurring with improved performance and computational efficiency | 382 |
 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 |
 xuboming8/dstnet | This repository implements a deep learning-based video deblurring method using PyTorch. | 68 |
| codeslake/ifan | Implementation of an algorithm for single image deblurring in images with defocus blur | 228 |
| pp00704831/stripformer-eccv-2022- | An implementation of an image deblurring algorithm using a transformer-based model | 94 |
 lingyanruan/drbnet | An implementation of an image deblurring algorithm using light field technology and deep learning techniques. | 110 |
 huicongzhang/stdan | Deblurring algorithm for videos using a neural network | 52 |
 invokerer/deeprft | Deblurring technique using deep learning and Fourier transformation to remove image blur | 248 |
 hdcvlab/deblurring-by-realistic-blurring | A Python implementation of a deblurring model using realistic blurring techniques. | 63 |
 jennyzu/bp-dip-deblurring | A Python implementation of an image deblurring technique based on backprojection from a deep learning prior | 6 |
 lextal/pspnet-pytorch | A PyTorch implementation of a segmentation network architecture | 588 |
| lingyanruan/lakdnet | An image deblurring model that revisits the use of convolutional neural networks to improve efficiency and performance compared to transformers. | 102 |
 randl/shufflenetv2-pytorch | An implementation of a lightweight convolutional neural network architecture for mobile devices | 191 |
 csjcai/dbcpenet | Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions. | 20 |