People in today’s era are more concerned about how they look instead of how they behave. They prefer enhancing their physical appearance. As we are aware, the social boom is hitting almost all of us and individuals are making full use of it by using beauty filters or beauty products to look good. Since the beginning of time, people were judged on the basis of their looks, and if you fulfill their mind set of beauty it automatically means that you are attractive and vice versa.
Researchers have succeeded in making an AI framework that particularly understands the subjective notions of what makes an individual looks good and how his or her facial features become more attractive through this AI technology. It is automatically scanned and thus, gives a relevant suggestion. The device has the potential to demonstrate this automated beautification by its own highly advanced techniques. The new portrait of any individual is made in such a way that it is well-tailored as per the beauty standards set in society such as the structure of the face, placement of nose and lips among other things. This technology is being adopted by many industries and organizations; most specifically it is being used by modeling industries. The results achieved are very positive and unique.
In the modeling industry, looks are a crucial element and hence, a preference is detected by this model potentially. This amazing discovery was possible by the collaboration of the University of Helsinki and the University of Copenhagen. Now, a question arises that whether a computer would be able to identify the facial features that we consider to be attractive, and based on this, are we able to produce new images matching our criteria. Our brain signals are very complex and it is difficult to decode them by software. Researchers first use artificial intelligence to interpret our brain signals and then it is combined with a special generative model of artificial faces. Replica of artificial facial images is tough to produce and since AI creates facial images, it is highly preferred by individuals.
In previous one, there were limited features such as the potential to regulate simple portrait features but in the new update, researchers have added additional tools.
