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"

Waifu2x-ios port to macOS, still in Core ML and Metal

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

Super Resolution datasets and models in Pytorch

MoePhoto Image Toolbox萌图工具箱

DeepTrack 2 is a modular Python library for generating, manipulating, and analyzing image data pipelines for machine learning and experimental imaging.

A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.

Sensifai image and video enhancement module on mobiles

Accelerating Image Super-Resolution Networks with Pixel-Level Classification (ECCV 2024)

[IEEE TGRS] DIP-HyperKite: Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction

[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.

Chainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Tensorflow with Image Super-Resolution Using Dense Skip Connections , color

Convolution NN resize initialization for subpixel convolutions

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow

2019 PPCA course project - Anime Super-Resolution

This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in discriminator.

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.