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

ComfyUI wrapper for InvSR (Arbitrary-steps Image Super-resolution via Diffusion Inversion)

DeepTrack2 is a modular Python library for generating, manipulating, and analyzing image data pipelines for machine learning and experimental imaging.

Super Resolution datasets and models in Pytorch

MoePhoto Image Toolbox萌图工具箱

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

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

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

Sensifai image and video enhancement module on mobiles

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

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.

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

2019 PPCA course project - Anime Super-Resolution

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

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.

百度智能云iOS播放器SDK

TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

Real Time Super Resolution Screen Upscaler written in Python for Linux and Windows

Implementate super resolution in deep learning

Edge and Identity Preserving Network for Face Super-Resolution (EIPNet, Neurocomputing2021)

Implementation of paper Deep Back Projection Network paper

waifu2x apple 平台超分库

Super Resolution of low resolution Images in PyTorch