A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Pytorch Implementation of Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
Deep Convolutional Framelet Denoising for Low-Dose CT via Wavelet Residual Network
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Face classification based on sparse representation
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
The original codes comes from: https://github.com/qobilidop/srcnn.
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
A course project on convolutional neural networks for single image super-resolution
