StyleGAN3 and other neural network models of the berlin based visionary artist Michael "Colory" Krebs.

A GUI frontend for Real-ESRGAN

A CLI wrapper for sdkit.

Python Notebooks to train HAT-L and Real-ESRGAN models with custom DIV2K dataset.

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

webui for prompt tools and upscale images

基于 Real-ESRGAN 的 PDF 图像超分辨率命令行程序

Finetuning pretrained model of Real-ESRGAN onto chest xrays (with and without pneumonia)

Video upscaler (cli/gui)

PresentaPulse leverages the power of LivePortrait and Real-ESRGAN to create ultra-realistic animated portraits. Developed by Tarek Tarabichi from 2TInteractive, this tool integrates advanced AI models to enhance image quality and create stunning animations.

3D normal map estimation pipeline using low resolution and highly occluded images

A Image Processing project developed in Python using Google Colab with the purpose of implementing texture synthesis algorithms (Inpainting and Super-Resolution), using specific libraries and a neural network.

Optimized Stable Diffusion modified to run on lower GPU VRAM with RealESRGAN and GFPGAN integration for text-to-image

Use AI to enhance and upscale your low-quality images: A Google Colab notebook to inference Real-ESRGAN model

PyTorch Implementation of the Model and Training Process of Real-ESRGAN

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

ImageUpscaler is a tool for upscaling and enhancing images using various techniques, including Real-ESRGAN for resolution enhancement. It supports contrast and color adjustments, sharpening, and upscaling of images.

ai image upscaling GUI application using Real-ESRGAN

Introduction for PixAI iOS Super Resolution App