How AI Creates Fake People
Artificial intelligence has evolved at breakneck speeds over the last few years, as software engineers look for new capabilities and ideas that have changed the way we produce digital art. The Nvidia face generator, created by the chip designer, allows us to provide an AI face creator for free, where you can make realistic AI people for any artwork or design projects.
Unsure about how to recognise AI-generated faces? The secret is that it's incredibly difficult–and you'd need to know some insider secrets to distinguish an authentic photo from an AI image.
How Does AI Create Faces From Scratch?
The AI behind our face generator uses a trained algorithm, which has studied enormous data sets to understand how human faces look, differ, and work–everything from muscle tone to hair, and bone structure to expressions.
A generative adversarial network (GAN for short) is a neural network that helps the AI produce new images, synthesising an incredibly realistic face even without any further input data. Because the AI learns from each image it explores, it can fabricate faces modelled on any characteristic you wish, such as age, hairstyle, or glasses. The depth of detail is extraordinary, with AI faces containing a huge amount of features, including skin pores, stubble, and freckles.
The Role of GANs in AI Face Generators
GANs were first developed in 2014, and the tech has since been rolled out in multiple image transfer and generation applications. Although the AI didn't work perfectly, to begin with, it can now create artificial images of almost anything, including faces, landscapes, and animals–whether or not they exist in real life.
The Nvidia Corporation created a new architecture for GAN software, which solved some of the early issues where a lot of images were reliant on a bit of a trial and error process, where the outcome might not have been quite what you were aiming for. This development incorporated style transfer techniques, which allows the system to learn each aspect of a dataset individually and develop better control over image scaling.
How to Create a Unique Human Face With AI
The process might sound highly technical, but AI is very easy to use if you're keen on exploring the potential. Here's what happens behind the screen:
- A style-based generator uses input images to learn about features and can synthesise something original with that knowledge.
- The new generators used in GANs help it control stylistic attributes, such as pose and shape, while conforming to general rules, such as where each facial feature should go.
- Users can dictate things like eye colour to create new human faces for their artwork, promotions or imagery, or go for a random image.
Pro and Cons of Fake AI People
One of the main concerns with AI facial generators is that unethical users could use the technology to create Deepfakes or replicate a living person to produce false images or videos. However, the power of AI has the potential to transform the way we use human interfaces in marketing, customer service, and entertainment.
Think game-play scenarios, virtual reality environments, or chatbots, created without any reference to an existing person but humanising the interaction and making digital ecosystems more immersive and exciting. With the right safeguards to ensure AI images are used responsibly, fake AI faces could be coming to a screen, app, or venue near you, and you'd never be able to spot the difference!