Technology can help you with various tasks and requirements today and one of its newest benefits is the ability to restore old photos. Developed by Chinese researchers, a tool created with the help of artificial intelligence can recover photos damaged by the action of time. It’s a great mechanism to keep some memories alive and materialized!
Read the article and learn more about the tool.
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How it works
Everyone has old photos at home, many of which are damaged, smudged, or low resolution. As the physical recovery of images is difficult and expensive, many people have ended up losing memories. However, now it is possible to use an online tool to make the photo look brand new. Developed by the company Tencent, in China, the platform called GFP-GAN, Generative Facial Prior-Generative Adversarial Network, is able to correct image defects without altering the original photo.
The software seeks to remove crease marks from photos, highlight barely visible or confusing details, and enhance colors in images, including turning black and white photos into color images. The method, based on StyleGAN-2 artificial intelligence technology, is based on a probability system.
If other tools add elements to the image that make it artificial, the GFP-GAN platform seeks to preserve the naturalness of the photos. To do this, it does not add new information to the photos and only tries to clean up the scenery. If it is necessary to fill a space in the photo, the elements are collected via a database. Even to improve aspects of the face, such as the mouth, nose and eyes.
The application is valid for old photographs in low resolution as well as for digital images. As camera photos may be damaged or corrupted at the time of capture, the tool also successfully recovers those images.
To use the application, no payment is required. The demo version is available to everyone on GFP-GAN page or as a free download at GitHub site. The application is open source software, that is, it can be downloaded and used by anyone. Thus, the intention of the creators is to allow the algorithm to be used for custom tasks that can be incorporated into new software.
The researchers estimate that a more advanced model of the app will be released in a few weeks. Among the improvements listed are improved facial recognition, identification of low-resolution elements in the photo, and better gap filling.
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