2018_subeesh_epsr_eccvw

Super-resolution framework

A deep learning-based super-resolution framework with improved perceptual accuracy and trade-off analysis tools

Project page of the paper 'Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network' (ECCVW 2018)

GitHub

80 stars
5 watching
13 forks
Language: Python
last commit: about 6 years ago
deep-learningepsrpirm-srpytorchsuper-resolution

Related projects:

RepositoryDescriptionStars
leverxgroup/esrganAn enhanced deep learning framework for image super-resolution tasks using Generative Adversarial Networks and PyTorch.151
twtygqyy/pytorch-srresnetAn implementation of a deep learning model for single image super-resolution using a generative adversarial network487
jacobgil/pytorch-zssrUnofficial PyTorch implementation of Zero-Shot Super Resolution using Deep Internal Learning from an image alone.201
jt827859032/drrn-pytorchA PyTorch implementation of a deep learning model for super resolution194
cszn/bsrganA deep learning-based approach to super-resolution of degraded images.1,222
wxywhu/srdensenet-pytorchA PyTorch implementation of an image super-resolution model based on dense skip connections.119
brade31919/srgan-tensorflowTensorflow implementation of a generative adversarial network for single image super-resolution848
cszn/dpsrA deep learning-based method to improve image quality by reducing blur effects839
algolzw/dclsA deep learning-based method for image super-resolution using constrained least squares23
d-li14/psconvA deep learning framework module implementing a compact multi-scale convolutional layer for feature extraction in object detection models.174
warrengreen/srcnnSoftware for enhancing satellite images through deep learning techniques76
nrel/sup3rCreates synthetic high-resolution spatiotemporal data for renewable energy resources using generative adversarial networks.88
cszn/srmdDevelops a single convolutional network to handle various image degradations with improved scalability and efficiency427
trevor-m/tensorflow-srganAn implementation of a generative adversarial network (GAN) used to improve image quality through super-resolution39
kaiyangzhou/dassl.pytorchA PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision.1,236