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