🔥 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
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
Block-wise confidence-aware CNN that predicts the compression quality level (e.g. JPEG quality factor) of an image in real time — official TensorFlow implementation of the BMVC 2021 paper
This repository features an image sharpening pipeline using Knowledge Distillation. A high-capacity Restormer acts as the teacher model, while a lightweight Mini-UNet is trained as the student to mimic its performance.
Reimplementation of SRGAN & SRCNN Using DIV2K
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
Prepare training data for NTIRE SR Challenge
Implementation of image super-resolution using SRResNet on DIV2k Dataset
AutoSteganography is a tool for encoding and decoding stegnographic images using Autoencoders
Reimplement Super Resolution CNN by using DIV2K datasets
This repository contains implementations, training routines, and evaluation scripts for various Single Image Super-Resolution (SISR) models.
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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