OSS Alternative - Discover Top Open Source Alternatives to Popular Software

Fanghua-Yu/SUPIR

SUPIR is an AI-driven project focused on developing practical algorithms for photo-realistic image restoration and upscaling in real-world scenarios.

Core Features

Achieves photo-realistic image restoration in the wild.

Provides high-quality image upscaling capabilities.

Leverages advanced AI models like SDXL, LLaVA, and CLIP.

Offers different model versions optimized for various degradation levels.

Includes an interactive Gradio demo for easy testing.

Quick Start

python gradio_demo.py

Detailed Introduction

SUPIR (Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild) is a cutting-edge research project and tool presented at CVPR 2024. It addresses the critical challenge of restoring and enhancing images captured in diverse, real-world conditions, often plagued by complex degradations. By employing advanced model scaling techniques and integrating powerful AI components, SUPIR delivers exceptional photo-realistic results, making high-quality image processing accessible for practical applications. Its online platform, SupPixel AI, further extends its utility to a broader audience.