Deep-Generalized-Unfolding-Networks-for-Image-Restoration
Image restoration framework
An image restoration framework using neural networks with interpretable and adaptive structure for diverse applications
Accepted by CVPR 2022
131 stars
7 watching
25 forks
Language: Python
last commit: over 2 years ago Related projects:
Repository | Description | Stars |
---|---|---|
swz30/mprnet | A deep learning model designed to progressively restore degraded images by iteratively refining the degradation and its representation in the image | 1,184 |
cszn/srmd | Develops a single convolutional network to handle various image degradations with improved scalability and efficiency | 426 |
cszn/ircnn | This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. | 600 |
megvii-research/nafnet | An image restoration model without nonlinear activation functions. | 2,247 |
siavashbigdeli/dmsp | A MATLAB implementation of an image restoration algorithm based on a deep mean-shift prior | 33 |
megvii-model/hinet | An image restoration network architecture designed to improve the performance of low-level vision tasks | 367 |
algolzw/daclip-uir | This project controls vision-language models to restore degraded images in various environments and conditions. | 668 |
tobypde/frrn | A software framework for training and evaluating full-resolution residual networks for semantic image segmentation tasks | 280 |
weisongzhao/sparse-sim | An image restoration framework for fluorescence microscopy using sparse deconvolution | 77 |
jimmy-ren/vcnn_double-bladed | A GPU-enabled vectorized implementation of CNNs for computer vision tasks | 136 |
uschmidt83/shrinkage-fields | A collection of MATLAB code implementing image restoration techniques based on shrinkage fields | 36 |
cdoersch/vae_tutorial | An open-source implementation of Variational Autoencoders and Conditional Variational Autoencoders for image reconstruction tasks | 502 |
xlearning-scu/2022-cvpr-airnet | Restores degraded images by combining multiple tasks of dehazing, denoising and deraining in a single framework | 176 |
filipradenovic/cnnimageretrieval | This MATLAB toolbox trains and tests convolutional neural networks for image retrieval tasks, including fine-tuning and supervised whitening. | 189 |
leverxgroup/esrgan | An enhanced deep learning framework for image super-resolution tasks using Generative Adversarial Networks and PyTorch. | 150 |