SRMD

Image restoration network

Develops a single convolutional network to handle various image degradations with improved scalability and efficiency

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

GitHub

427 stars
14 watching
80 forks
Language: MATLAB
last commit: almost 5 years ago
Linked from 1 awesome list

cnndeep-learningdenoisingimage-degradationmatconvnetmatlabnon-blindregressionsisrsuper-resolution

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
cszn/ircnnThis project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods.602
cszn/bsrganA deep learning-based approach to super-resolution of degraded images.1,222
swz30/mprnetA deep learning model designed to progressively restore degraded images by iteratively refining the degradation and its representation in the image1,197
cszn/dpsrA deep learning-based method to improve image quality by reducing blur effects839
warrengreen/srcnnSoftware for enhancing satellite images through deep learning techniques76
filipradenovic/cnnimageretrievalThis MATLAB toolbox trains and tests convolutional neural networks for image retrieval tasks, including fine-tuning and supervised whitening.188
brade31919/srgan-tensorflowTensorflow implementation of a generative adversarial network for single image super-resolution848
bruinxiong/modified-crunet-and-residual-attention-network.mxnetAn MXNet implementation of a modified deep neural network architecture for image classification67
cszcwu/nrknetA software framework for single image deblurring using recursive kernels14
mc-e/deep-generalized-unfolding-networks-for-image-restorationAn image restoration framework using neural networks with interpretable and adaptive structure for diverse applications136
xlearning-scu/2022-cvpr-airnetRestores degraded images by combining multiple tasks of dehazing, denoising and deraining in a single framework176
zzh-tech/estrnnAn efficient RNN-based model for real-world video deblurring with a large-scale dataset and pre-trained models.322
uschmidt83/fourier-deconvolution-networkA software project that provides an implementation of Fourier deconvolution for image restoration using a neural network37
swz30/restormerProposes an efficient neural architecture model for high-resolution image restoration tasks1,845
pistony/residualattentionnetworkA Gluon implementation of Residual Attention Network for image classification tasks108