Major Project: Adobe Neural Filters and facial features
The work informs you to have a closer look at images of people’s faces. As you do not know if someone has manipulated a face using Adobe Neural Filters. As we are slowly seeing the rise of artificial intelligence in creativity. From text to text all the way to text to image. When it comes to manipulation of creative content. The piece of work that I have created makes you look for the areas on someone’s face that has been manipulated using Adobe Neural Filters. “It’s easy for AI to come up with something novel just randomly. But it’s very hard to come up with something that is novel and unexpected and useful.” — John Smith, Manager of Multimedia and Vision at IBM Research.
The things that have been manipulated in the images are facial age, hair thickness, direction of eyes, mouth and facial reaction. With each image that has been manipulated either hard or easier for you to have a think about. When it comes to you looking at someone’s facial features. With some of the people in the picture being in a crowd or even having a hat to cover some of their facial features making it harder for you to figure out if the image has been AI manipulated. Along with the ability of Adobe Neural Filters to restore an old image.
