A simple machine learning model to enhance low resolution images.
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Updated
Sep 14, 2024 - Python
A simple machine learning model to enhance low resolution images.
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
This repository leverages Generative Adversarial Networks (GANs) to enhance image resolution for various applications, using the Super-Resolution GAN (SRGAN) architecture. The project includes a Jupyter Notebook for model training and a detailed research paper documenting the methodology and results.
Implementation and training of SRResNet and SRGAN models from scratch using PyTorch for image super-resolution.
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
WindSR Dataset contains more than 22,000 pairs of HR/LR wind speed images, which are processed using the NASA's GEOS-5 Nature Run dataset. This dataset is useful for studying super-resolution for data collected using satellites rather natural RGB images.
Tensor-Flow implementation of GAN trained on dataset of face images
Creating an SRGAN model based on a research paper
Photo realistic single image super resolution using Generative Adversarial Network
Applied Self Supervised Learning techniques such as Jigsaw as pretext task, SRGAN and SimCLR for fine-grained classification
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
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