🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

A TensorFlow implementation of ESRGAN

A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN

使用PaddlePaddle复现Real-ESRGAN

This repository contains source code implementation of assignments for NTU's MSAI course AI6126 on Advanced Computer Vision (2020 Sem 1).

Reimplementation of SRGAN using TensorFlow 2

GCS specific notebooks and scripts to download VOC 2007, COCO 2017 and DIV2K Datasets and create TFRecords.

Tensorflow Implementation of enhanced deep super-resolution network (EDSR) and Super Resolution Generative Adversarial Networks(SRGAN) Paper

Implementation of image super-resolution using EDSR and WDSR on DIV2k Dataset

Prepare training data for NTIRE SR Challenge

Restoring old images using deep learning. Initial code is adopted from Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising by K. Zhang, et. al By: Maya Hussein & Nada Badawi

A novel framework for Single Image Super Resolution using Generative Adversarial Network (GAN), namely "Wide Activation with Enhanced Perception Super Resolution GAN (WAEP SRGAN)".

Implementation of image super-resolution using SRResNet on DIV2k Dataset

AutoSteganography is a tool for encoding and decoding stegnographic images using Autoencoders

Analysis on the performance of ESRGAN, RCAN and EnhanceNet Single Image Super-Resolution (SISR) networks on bicubic and random downsampling techniques.