There are 1 repository under fsrcnn topic.
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.
MLHub is a collection of impactful machine learning projects designed for learners and enthusiasts in the field of data science. Our goal is to provide accessible and hands-on experiences that help individuals understand the fundamentals of machine learning and data analysis.
My personal config for MPV player with FSRCNNX shader and image viewer
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
Super Resolution using FSRCNN Dong Chao et al. paper.
A Fast and Accurate Super-Resolution Convolutional Neural Network (FSRCNN) build for artwork, anime, and illustration.
【matlab / python / tkinter / BasicSR】基于EDVR SRCNN FSRCNN 的超分辨率部署程序
Implementation of four different deep learning models for super-resolution.
Implimentation of the 2016 Fast Super Resolution CNN Paper
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.
Project that positions an object in a video following a road lane.