Analysis on the performance of ESRGAN, RCAN and EnhanceNet Single Image Super-Resolution (SISR) networks on bicubic and random downsampling techniques.
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Updated
Mar 10, 2021
Analysis on the performance of ESRGAN, RCAN and EnhanceNet Single Image Super-Resolution (SISR) networks on bicubic and random downsampling techniques.
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
Implementation of image super-resolution using SRResNet on DIV2k Dataset
AutoSteganography is a tool for encoding and decoding stegnographic images using Autoencoders
Implementation of image super-resolution using EDSR and WDSR on DIV2k Dataset
Tensorflow Implementation of enhanced deep super-resolution network (EDSR) and Super Resolution Generative Adversarial Networks(SRGAN) Paper
Reimplementation of SRGAN using TensorFlow 2
This repository contains source code implementation of assignments for NTU's MSAI course AI6126 on Advanced Computer Vision (2020 Sem 1).
使用PaddlePaddle复现Real-ESRGAN
A tensorflow-based implementation of SISR using EDSR, SRResNet, and SRGAN
A TensorFlow implementation of ESRGAN
🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥
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