This is the Linux app named Real-ESRGAN whose latest release can be downloaded as Real-ESRGANv0.3.0ReleaseNotesourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Real-ESRGAN
DESCRIPTION
Real-ESRGAN is a highly popular open-source project that provides practical algorithms for general image and video restoration using deep learning-based super-resolution techniques. It extends the original Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) approach by training on synthetic degradations to make results more robust on real-world images, effectively enhancing resolution, reducing noise/artifacts, and reconstructing fine detail in low-quality imagery. The repository includes inference and training scripts, a model zoo with different pretrained models (including general and anime-oriented variants), and support for batch and arbitrary scaling, making it adaptable for diverse enhancement tasks. It emphasizes usability with utilities that handle alpha channels, gray/16-bit images, and tiled inference for large inputs, and can be run via Python scripts or portable executables.
Features
- Deep-learning super-resolution and general image/video restoration
- Extensive pretrained model zoo for general images and anime/video content
- Flexible inference: Python scripts or portable executables for multiple platforms
- Handles alpha channels, gray/16-bit images, and tiled large-image processing
- Supports arbitrary scaling and optional face enhancement integration
- Designed for robust real-world performance on diverse image degradations
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/real-esrgan.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
