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This image was generated by an artificial neural network based on an analysis of a large number of photographs. The Style Generative Adversarial Network , or StyleGAN for short, is an extension to the GAN architecture introduced by Nvidia researchers in December 2018, [ 1 ] and made source available in February 2019.
Artbreeder, formerly known as Ganbreeder, [4] is a collaborative, machine learning-based art website. Using the models StyleGAN and BigGAN , [ 4 ] [ 5 ] the website allows users to generate and modify images of faces, landscapes, and paintings, among other categories.
[64] [65] Released in 2022 on Hugging Face's Spaces platform, Craiyon (formerly DALL-E Mini until a name change was requested by OpenAI in June 2022) is an AI model based on the original DALL-E that was trained on unfiltered data from the Internet. It attracted substantial media attention in mid-2022, after its release due to its capacity for ...
The first such system was the drawing-based "Identikit" which was introduced in the U.S. in 1959. [2] A photograph-based system, "Photofit", was introduced in the UK in 1970 by Jacques Penry. [ 2 ] Modern systems are software-based; common systems include SketchCop FACETTE Face Design System Software, Identi-Kit 2000, FACES, E-FIT and PortraitPad.
Outputs of the generator network from random input were made publicly available on a number of websites. [ 33 ] [ 34 ] Similarly, since 2018, deepfake technology has allowed GANs to swap faces between actors; combined with the ability to fake voices, GANs can thus generate fake videos that seem convincing.
An eigenface (/ ˈ aɪ ɡ ən-/ EYE-gən-) is the name given to a set of eigenvectors when used in the computer vision problem of human face recognition. [1] The approach of using eigenfaces for recognition was developed by Sirovich and Kirby and used by Matthew Turk and Alex Pentland in face classification.
The input is an RGB image of the face, scaled to resolution , and the output is a real vector of dimension 4096, being the feature vector of the face image. In the 2014 paper, [ 13 ] an additional fully connected layer is added at the end to classify the face image into one of 4030 possible persons that the network had seen during training time.
In October 2018, a Wojak with a gray face, pointy nose and blank, emotionless facial expression, dubbed "NPC Wojak", became a popular visual representation for people who cannot think for themselves or make their own decisions, comparing them to non-player characters – computer-automated characters within a video game.