TVPaint Animation
The digital solution for your professional 2D animation projects.
Creativity
Paid
From $750
2D Animation
Storyboarding
Character Design
Real-ESRGAN
4.7
Free Real-ESRGAN offers impressive image and video enhancement capabilities, noted for its ability to restore details and reduce noise, making it a valuable tool for both personal and professional use.
Practical algorithms for general image/video restoration using AI super-resolution.
0 views
0 saves
|
Refined 2/22/2026
About Real-ESRGAN
Real-ESRGAN aims to provide practical algorithms for real-world image and video restoration. It extends the capabilities of ESRGAN through training on purely synthetic data. The core architecture involves a deep neural network trained to upscale low-resolution images and videos while reducing noise and artifacts. Key features include models optimized for anime images and videos, support for various input types (including images with alpha channels and 16-bit images), and integration with tools like GFPGAN for face enhancement. It offers both Python script and portable executable options (NCNN) for flexible deployment. The tool's value proposition lies in its accessibility, effectiveness in handling real-world degradation, and open-source nature, allowing for community contributions and customization.
Core Capabilities
Real-ESRGAN aims to provide practical algorithms for real-world image and video restoration.
Main Tasks
Upscale images
Explore all tools that specialize in upscale images. This domain focus ensures Real-ESRGAN delivers optimized results for this specific requirement.
