Technology can help you with many tasks and demands today and one of its most recent advantages is the possibility of restore old photos. Developed by Chinese researchers, a tool created with the aid of artificial intelligence is able to recover photos damaged by the action of time. This is an excellent mechanism to keep some memories alive and materialized!
Keep reading the article and learn more about the tool.
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How it works
Everyone has old photos at home, many of them damaged, smudged or low resolution. As physical retrieval of images is difficult and expensive, many people end up losing some memories. However, now it is possible to use an online tool to make the photo new. Developed by the company Tencent, in China, the platform called GFP-GAN, Generative Facial Prior-Generative Adversarial Network, is able to correct flaws in images without altering the photo original.
The software seeks to remove folding marks from the photos, highlight barely visible details or messy and make the colors of images stand out, including turning black and white photos into images colorful. 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 them artificial, the GFP-GAN platform seeks to maintain the naturalness of the photos. To do so, it does not add new information to the photos and seeks only to clean up the scenery. If it is necessary to fill some space in the photo, the elements are collected through a database. Including, to improve aspects of the face, such as mouth, nose and eyes.
The application is valid both for old photographs in low resolution and for digital images. As camera photos can be damaged or corrupted at the time of capture, the tool also works successfully in recovering these images.
free tool
No payment is required to use the application. The demo version is available to everyone onGFP-GAN page or free download at GitHub website. The app is open source software, meaning 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 integrated into new software.
The estimate of the researchers is the launch of a more advanced model of the application in a few weeks. Among the improvements listed are the improvement of facial recognition, identification of elements with low resolution in the photo and better filling of spaces.
