Divided Experiences

»i am« by sergio albiac

your portrait from your transformed words

in fine art, especially painting, humans have mastered the skill to create unique visual experiences through composing a complex interplay between the content and style of an image. thus far the algorithmic basis of this process is unknown and there exists no artificial system with similar capabilities. however, in other key areas of visual perception such as object and face recognition near-human performance was recently demonstrated by a class of biologically inspired vision models called deep neural networks. here we introduce an artificial system based on a deep neural network that creates artistic images of high perceptual quality. the system uses neural representations to separate and recombine content and style of arbitrary images, providing a neural algorithm for the creation of artistic images. moreover, in light of the striking similarities between performance-optimised artificial neural networks and biological vision, our work offers a path forward to an algorithmic understanding of how humans create and perceive artistic imagery.

more information here: http://www.sergioalbiac.com/wall/i-am.html

I Am

Computational Portrait project by @sergioalbiac generates artworks of sitters with webcam and composed with letters from their spoken personal statements:

In a post-selfie time where machine learning algorithms convincingly turn photos into imitated masterpieces, how can computer code be used as a medium to tell stories about human identity? My latest code-based works use the Internet as an art supply store: Big and small data, cloud computing and real-time machine learning services are combined with my custom generative computer code. This process infuses with personal meaning any resulting artwork with a sort of Personal Essentialism. I borrow meaning directly from portrait sitters’ personal data and I transform it into identity metaphors where meaning can be retrieved. 

Confused - Generative portrait

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