Implementations of common models used for Image Super Resolution
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Updated
Feb 13, 2022 - Python
Implementations of common models used for Image Super Resolution
A solution of SISR that merges the ideas of SRGAN and Edge Informed SISR. This solution was presented on 1st SpainAI hackathon obtain 4th position.
Super resolution
This repository contains an Image Upscaling project using a Generative Adversarial Network (GAN) model.
Single image super resolution
This repository contains source code implementation of assignments for NTU's MSAI course AI6126 on Advanced Computer Vision (2020 Sem 1).
A Keras implementation of a SISR (Single-Image Super-Resolution) Residual-CNN.
Graduation Project. Applying Generative Adversarial Networks(GAN) with Residual-In-Residual(RIR) blocks.
Single Image Super-Resolution in Tensorflow using GAN. Implementation of https://arxiv.org/abs/1609.04802.
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019) in pytorch
Sentinel-5P Single-Image Super-Resolution Toolbox
lots of single image super resolution model implementations in tensorflow
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