Image super resolution using with Deep Convolutional Neural Networks
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Updated
Jul 15, 2023 - Jupyter Notebook
Image super resolution using with Deep Convolutional Neural Networks
IKC: Blind Super-Resolution With Iterative Kernel Correction
HiRN: Hierarchical Recurrent Neural Network for Video Super-Resolution (VSR) using Two-Stage Feature Evolution - Official Repository (Applied Soft Computing)
Image Super-Resolution Using ESRGAN
A PyTorch implementation of ESRGAN. Additionally, a weight file trained for 200 epochs will be provided.
Group-based Bi-Directional Recurrent Wavelet Neural Network for Efficient Video Super-Resolution (VSR) - Official Repository (Pattern Recognition Letters)
This is the repository of the code related to Ruben Moyas's MSc in Data Science Master's Thesis.
The experimental implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" ( SRGAN )
Official implementation of "MAML-SR: Self-Adaptive Super-Resolution Networks via Multi-scale Optimized Attention-aware Meta-Learning" (PRL'23)
Tensorflow 2.0 implementation of ESRGAN
Project on super-resolution of medical images with the LTS4 and the CHUV at the Swiss Institute of Technology Lausanne.
Tensorflow 2.0 implementation of Accurate Image Super-Resolution Using Very Deep Convolutional Networks (CVPR 2016) with jupyter notebook.
Team <kaws> solution for the NTIRE2020 extreme super-resolution challenge
動漫插畫放大/降噪
Deep learning-based SR of 3D MRI by Regularly Spaced Shifting
An adversarial algorithm for generating super resolution of images
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