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The similarly AI-driven text adventure game AI Dungeon uses Artbreeder to generate profile pictures for its users, [7] and The Static Age's Andrew Paley has used Artbreeder to create the visuals for his music videos.
Chernoff faces, invented by applied mathematician, statistician and physicist Herman Chernoff in 1973, display multivariate data in the shape of a human face. The individual parts, such as eyes, ears, mouth and nose represent values of the variables by their shape, size, placement and orientation.
FaceNet is a facial recognition system developed by Florian Schroff, Dmitry Kalenichenko and James Philbina, a group of researchers affiliated with Google.The system was first presented at the 2015 IEEE Conference on Computer Vision and Pattern Recognition. [1]
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.
Any human face can be considered to be a combination of these standard faces. For example, one's face might be composed of the average face plus 10% from eigenface 1, 55% from eigenface 2, and even −3% from eigenface 3. Remarkably, it does not take many eigenfaces combined together to achieve a fair approximation of most faces.
Find duplicates, hierarchical keywords, distributable catalog with free Media Pro reader, offline browsing of images Picasa: Yes name, date, rating, faces Yes individual, linear Partial Keywords Partial basic Yes Yes Yes rotation only Yes collages, Geotagging, Search for Faces, find duplicates Shotwell: No Yes individual, linear, hide Yes
FindFace employs a facial recognition neural network [6] algorithm developed by N-Tech.Lab [7] [8] to match faces in the photographs uploaded by its users against faces in photographs published on VK, [9] with a reported accuracy of 70 percent. [10] Different sources point to NTech Lab's technology accuracy from 85.081% [11] to 99%. [12]
A direct predecessor of the StyleGAN series is the Progressive GAN, published in 2017. [9]In December 2018, Nvidia researchers distributed a preprint with accompanying software introducing StyleGAN, a GAN for producing an unlimited number of (often convincing) portraits of fake human faces.