DCLS
Image super-resolver
A software framework for performing blind image super-resolution using constrained least squares optimization
"Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.
23 stars
1 watching
0 forks
last commit: over 2 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| algolzw/daclip-uir | This project controls vision-language models to restore degraded images in various environments and conditions. | 662 |
 n00mkrad/cupscale | A GUI-based image upscaling tool that uses deep learning models to improve resolution and quality of images | 2,153 |
| algolzw/image-restoration-sde | Image restoration software using stochastic differential equations | 576 |
 leverxgroup/esrgan | An enhanced deep learning framework for image super-resolution tasks using Generative Adversarial Networks and PyTorch. | 150 |
 subeeshvasu/2018_subeesh_epsr_eccvw | A deep learning-based super-resolution framework with improved perceptual accuracy and trade-off analysis tools | 79 |
 jacobgil/pytorch-zssr | Unofficial PyTorch implementation of Zero-Shot Super Resolution using Deep Internal Learning from an image alone. | 201 |
 bychelsea/cmos | This project provides a PyTorch implementation of a blind image super-resolution model using space-variant blur estimation. | 9 |
 gbredell/w_dip | This project presents a method to improve the stability and performance of unsupervised blind image deconvolution using Wiener guidance. | 13 |
| subeeshvasu/2018_subeesh_nbd_cvpr | Provides results and tools for image deblurring using CNNs to handle kernel uncertainty | 5 |
 cuiyixin555/lmg | A MATLAB implementation of an image deblurring algorithm using local maximum gradient prior | 16 |
 cszn/dpsr | A deep learning-based method to improve image quality by reducing blur effects | 836 |
| cszn/ircnn | This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. | 600 |
 deepinsight-pcalab/compactbilinearpooling-pytorch | A PyTorch implementation of compact bilinear pooling, an efficient downsampling technique used in computer vision and other image processing applications. | 182 |
 jungmannlab/picasso | Tools for enhancing image resolution using machine learning algorithms | 110 |
 bharatsingh430/snip | A technique to normalize images at different scales within a pyramid structure for object detection applications. | 170 |