A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
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Nov 4, 2019 - Python
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superresolution
Here are 97 public repositories matching this topic...
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
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Jul 23, 2018 - Jupyter Notebook
DeepTrack2 is a modular Python library for generating, manipulating, and analyzing image data pipelines for machine learning and experimental imaging.
machine-learning deep-learning image-processing optics microscopy data-augmentation biophysics soft-matter computational-pipelines photonics superresolution
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Feb 9, 2026 - Jupyter Notebook
Waifu2x-ios port to macOS, still in Core ML and Metal
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Jan 9, 2023 - Swift
A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.
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Oct 29, 2020 - Python
Super Resolution datasets and models in Pytorch
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Dec 23, 2023 - Python
MoePhoto Image Toolbox萌图工具箱
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Feb 7, 2026 - Python
Sensifai image and video enhancement module on mobiles
computer-vision deep-learning image-processing mobile-app image-quality superresolution image-enhancement tflite
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Nov 14, 2020 - Java
ComfyUI wrapper for InvSR (Arbitrary-steps Image Super-resolution via Diffusion Inversion)
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Jan 2, 2026 - Python
TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
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Jul 6, 2019 - Python
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
video video-processing super-resolution image-restoration restoration deblurring denoising superresolution video-super-resolution video-enhancement video-denoising video-deblurring deraining neurips video-restoration desnowing video-desnowing video-deraining neurips-2024
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Dec 12, 2025 - Python
Tensorflow with Image Super-Resolution Using Dense Skip Connections , color
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Jan 10, 2018 - Python
PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
pytorch generative-adversarial-network dcgan gans pix2pix super-resolution cyclegan superresolution pytorch-implementation gan-models
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Mar 31, 2022 - Jupyter Notebook
Chainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Dec 18, 2016 - Python
In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.
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Oct 6, 2018 - Jupyter Notebook
Resolution Enhancement Algorithm using Deblurring by Pixel Reassignment. This repository implements cutting-edge techniques for improving image resolution and clarity by reassigning pixels to correct for blur. Ideal for microscopy, photography, image processing, and computational optics researchers.
resolution algorithm image-processing fluorescence microscopy image-restoration fluorescence-microscopy-imaging dpr deblurring superresolution image-enhancement fluorescence-microscopy resolution-algorithm resolutionenhancemnt
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Aug 25, 2025 - Python
Convolution NN resize initialization for subpixel convolutions
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Feb 28, 2021 - Jupyter Notebook
SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow
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Nov 23, 2018 - Python
Super Resolution of low resolution Images in PyTorch
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Dec 3, 2018 - Python
TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Network" (CVPR 2016)
python machine-learning computer-vision deep-learning image-reconstruction tensorflow machine-learning-algorithms image-processing cnn deeplearning convolutional-neural-networks super-resolution cvpr vdsr-algorithm vdsr superresolution image-enhancement cvpr16 single-image-super-resolution cvpr2016
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May 9, 2019 - Python
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