Jeffrey Yeo

SRCNN-pytorch. PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

FSRCNN-pytorch. PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)

RDN-pytorch. PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)

REDNet-pytorch. PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)

ESPCN-pytorch. PyTorch implementation of Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (CVPR 2016)

RCAN-pytorch. PyTorch implementation of Image Super-Resolution Using Very Deep Residual Channel Attention Networks (ECCV 2018)

ARCNN-pytorch. PyTorch implementation of Deep Convolution Networks for Compression Artifacts Reduction (ICCV 2015)

DnCNN-pytorch. PyTorch implementation of Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP 2017)

SRDenseNet-pytorch. PyTorch implementation of Image Super-Resolution Using Dense Skip Connections (ICCV 2017)

DRRN-pytorch. PyTorch implementation of Image Super-Resolution via Deep Recursive Residual Network (CVPR 2017)

WDSR-pytorch. PyTorch implementation of Wide Activation for Efficient and Accurate Image Super-Resolution (CVPR Workshop 2018)

SNet-pytorch. PyTorch implementation of S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction (2018)

IDN-pytorch. PyTorch Implementation of Fast and Accurate Single Image Super-Resolution via Information Distillation Network (CVPR 2018)

DeepLearningExamples. Deep Learning Examples