collection of super-resolution models & algorithms

Tensorflow implementation of 'Accelerating the Super-Resolution Convolutional Neural Network'.

Unofficial PyTorch implementation of FSRCNN (Fast Super-Resolution Convolutional Neural Network)

Recognition of license plate numbers, in any format, by automatic detection with Yolov8, pipeline of filters and paddleocr as OCR

Upscale Twitch stream and restream into Twitch or RTMP or File.

An example for porting nerual network to vapoursynth.

Tensorflow 2.x based implementation of FSRCNN for single image super-resolution

Pytorch based implementation of FSRCNN for single image super-resolution

A simple image upscaler application using EDSR, ESPCN, FSRCNN, and LapSRN models

🌃 Comparing AI super-resolution models with visual examples and runtime analysis for image upscaling and restoration.

Code for paper "Classification-based Dynamic Network for Efficient Super-Resolution"

Super Resolution using FSRCNN Dong Chao et al. paper.

SRCNN, FSRCNN, SRDenseNet

【matlab / python / tkinter / BasicSR】基于EDVR SRCNN FSRCNN 的超分辨率部署程序

A Fast and Accurate Super-Resolution Convolutional Neural Network (FSRCNN) build for artwork, anime, and illustration.

Implementation of four different deep learning models for super-resolution.

Project that positions an object in a video following a road lane.

Comparative study of lightweight generator models (ESPCN, FSRCNN, IDN) in the SRGAN framework for Single Image Super-Resolution (SISR). Explore the trade-offs between performance and efficiency in GAN-based SISR.

This repository contains implementations, training routines, and evaluation scripts for various Single Image Super-Resolution (SISR) models.

Implimentation of the 2016 Fast Super Resolution CNN Paper