New interpretation tools and metamorphosis of the image, how the self-synthesizing of visual elements influences the aesthetic evolution

Abstract

With increasing consideration the management and technology of image transformation today implies different areas of use, strongly intervening on human perception and pursuing the tendency to reproduce extreme realism in synthetic images generated by computer. The importance that today we give to the image thus sees the involvement not only of dynamics typical of aesthetics and art but also of clinical and psychological analysis, in which the search for reality, in configuring non-existent contents, leads to new experiments connected to strictly practical areas and new means of representation. The article investigates technological evolutions based on artificial intelligence algorithms based on facial recognition, digital reproduction of the image and its reconfiguration according to processes of self-synthesizing of visual elements, applicable not only on human faces, but also on objects, spaces and architectural elements. Such an acceleration in scientific results has been possible thanks to a simpler management of quantum physics applied to AI algorithms and the introduction of new development methodologies. GAN, (Generative Adversarial Networks) is involved in strategies to preserve cultural heritage as an excellent low cost tool to solve critical issues of various nature.