Code for paper "Classification-based Dynamic Network for Efficient Super-Resolution"
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Updated
Aug 25, 2023 - Python
Code for paper "Classification-based Dynamic Network for Efficient Super-Resolution"
A Fast and Accurate Super-Resolution Convolutional Neural Network (FSRCNN) build for artwork, anime, and illustration.
Implimentation of the 2016 Fast Super Resolution CNN Paper
Pytorch based implementation of FSRCNN for single image super-resolution
Super Resolution using FSRCNN Dong Chao et al. paper.
Project that positions an object in a video following a road lane.
My personal config for MPV player with FSRCNNX shader and image viewer
A simple image upscaler application using EDSR, ESPCN, FSRCNN, and LapSRN models
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.
Implementation of four different deep learning models for super-resolution.
Tensorflow 2.x based implementation of FSRCNN for single image super-resolution
Upscale Twitch stream and restream into Twitch or RTMP or File.
An example for porting nerual network to vapoursynth.
Recognition of license plate numbers, in any format, by automatic detection with Yolov8, pipeline of filters and paddleocr as OCR
Unofficial PyTorch implementation of FSRCNN (Fast Super-Resolution Convolutional Neural Network)
Tensorflow implementation of 'Accelerating the Super-Resolution Convolutional Neural Network'.
collection of super-resolution models & algorithms
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