DRRN-pytorch

Super resolver

A PyTorch implementation of a deep learning model for super resolution

Pytorch implementation of Deep Recursive Residual Network for Super Resolution (DRRN), CVPR 2017

GitHub

193 stars
3 watching
53 forks
Language: Python
last commit: over 6 years ago

Related projects:

Repository Description Stars
twtygqyy/pytorch-srresnet An implementation of a deep learning model for single image super-resolution using a generative adversarial network 484
jacobgil/pytorch-zssr Unofficial PyTorch implementation of Zero-Shot Super Resolution using Deep Internal Learning from an image alone. 201
wxywhu/srdensenet-pytorch A PyTorch implementation of an image super-resolution model based on dense skip connections. 119
4uiiurz1/pytorch-res2net Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. 112
xternalz/wideresnet-pytorch An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets. 333
l0sg/relational-rnn-pytorch An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling 244
jhjacobsen/pytorch-i-revnet Deep invertible neural network implementation using PyTorch for image recognition and reconstruction tasks. 389
cszn/bsrgan A deep learning-based approach to super-resolution of degraded images. 1,213
potterhsu/svhnclassifier-pytorch A PyTorch implementation of multi-digit number recognition from street view imagery using deep convolutional neural networks 200
kimhc6028/relational-networks A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks 812
prlz77/resnext.pytorch Reproduces ResNet-V3 with PyTorch for computer vision tasks 508
zalandoresearch/pytorch-dilated-rnn Implementations of Dilated Recurrent Neural Networks in PyTorch 211
isht7/pytorch-deeplab-resnet A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. 602
cszn/dpsr A deep learning-based method to improve image quality by reducing blur effects 836
subeeshvasu/2018_subeesh_epsr_eccvw A deep learning-based super-resolution framework with improved perceptual accuracy and trade-off analysis tools 79