This Person Does Not Exist presents a random, computer generated photo of a fictional person. Refresh the page each time for a new face.
Facehub is the first ever mobile app with the ability to make face-to-face swap on iPhone 7 and up. The unique lip-synching technology uses machine learning to allow users to speak, laugh and make faces as their gestures are mirrored in real-time onto any other face of their choosing.
Reflect face swap is the first ever automated realistic face swapping app based on machine learning.
Our app is able to swap any face including those in statues, paintings, cartoons and video game characters.
Here is an opportunity for you to try yourself as a Night King, Mona Lisa or Joe from Friends!
Get unique AI-generated faces placeholders in Sketch. Free plugin.
All of the portraits in this demo are generated by an AI model called “StyleGAN”. Using a technique we call "semantic shaping", we're able to change the age, gender, or emotion of a face.
Using generative adversarial networks (GAN), we can learn how to create realistic-looking fake versions of almost anything, as shown by this collection of sites that have sprung up in the past month.
This is a demo of a deep learning model creating a synthetic persona based on a short random bio. Shuffle the personalities and try chatting with it. We also open-sourced the code and a tutorial to reproduce this with 250 lines of codes.
GAN generated images vs real humans.
Check if you can guess how many you get right.
This website uses two datasets provided by NVIDIA, one of real people the other is generated using Machine learning, These people don't exist in real life.
This website gives you the chance to test your ability to distinguish the two.