Medal of Honor Allied Assault automated textures upscaling based on ESRGAN

Adds yandere inpainting, based on ESRGAN, into stable diffusion webui

Super resolution of DSM

This is the PyTorch implementation of ESRGAN .

Pumps up the Image resolution by x4 factor

AI Model to increase image resolution. Fork from https://huggingface.co/ai-forever/Real-ESRGAN

MXNet sample for super resolution

Image and Video Super Resolution

Pytorch implementation for ESRGAN training and inference pipeline

Image Pearer automates the creation of image pairs from a LR and a HR source for neural network model training.

使用Vue和Real-ESRGAN的图片放大（清晰化）工具

When photographing a light source with a smartphone camera, light smudging often occurs. Our model contributes to improving the image quality degraded by the spread of light around the light source.

Developed VisionSoC, an advanced image upscaling model using Enhanced Super Resolution Generative Adversarial Networks (ESRGAN) with Python, leveraging frameworks such as TensorFlow and Keras. Created a comprehensive web-based application for the model using HTML, CSS, and JavaScript, and integrated the frontend with the backend using Flask.

Pytorch Implementation of various experiments and proposed improvements to the state-of-the-art image super resolution model ESRGAN.

A version of the original ESRGAN test.py script, optimized for manga/comics

upscale image resolution

A experimental ffmpeg / pyTorch upscaler using ESGAN AIML methods

Implementation of the paper "Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data." 🖼️

Plate number recognition involves employing image restoration and processing techniques alongside model fine-tuning for improved accuracy.