SRDenseNet-pytorch
Image upscaler
A PyTorch implementation of an image super-resolution model based on dense skip connections.
SRDenseNet-pytorch（ICCV_2017）
119 stars
6 watching
16 forks
Language: Python
last commit: about 6 years ago densenetpythonpytrochsuper-resolution
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 |
 jt827859032/drrn-pytorch | A PyTorch implementation of a deep learning model for super resolution | 193 |
 jacobgil/pytorch-zssr | Unofficial PyTorch implementation of Zero-Shot Super Resolution using Deep Internal Learning from an image alone. | 201 |
 bmsookim/wide-resnet.pytorch | PyTorch implementation of wide residual networks for image classification tasks on CIFAR-10 and CIFAR-100 datasets | 461 |
 prlz77/resnext.pytorch | Reproduces ResNet-V3 with PyTorch for computer vision tasks | 508 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,217 |
 zsef123/efficientnets-pytorch | A PyTorch implementation of EfficientNet for computer vision tasks | 309 |
 4uiiurz1/pytorch-res2net | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
 ericsun99/shufflenet-v2-pytorch | A PyTorch implementation of a ShuffleNet-v2 neural network architecture for image classification. | 430 |
 openseg-group/openseg.pytorch | Provides a PyTorch implementation of several computer vision tasks including object detection, segmentation and parsing. | 1,190 |
 felixgwu/img_classification_pk_pytorch | A PyTorch project for comparing image classification models and facilitating quick experiment setup | 365 |
 kazuto1011/pspnet-pytorch | Re-implementation of a deep learning model for semantic segmentation using PyTorch. | 52 |
 wizaron/reseg-pytorch | A PyTorch implementation of a deep learning model for semantic image segmentation with annotated object parts. | 45 |
 jhjacobsen/pytorch-i-revnet | Deep invertible neural network implementation using PyTorch for image recognition and reconstruction tasks. | 389 |
 xternalz/wideresnet-pytorch | An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets. | 333 |