Users face is detected and captured and the face appears on three screens. Then the user can start manipulating different attributes (mouth, nose, glasses, beard etc.) on their face by using a radio-button interface increasing or decreasing the emphasis on that attribute. The system is using a flow-based generative machine learning model called Glow to generate the images based on a training dataset of a large number of faces. Adjusting the attributes is similar to what many image filters offers in apps on our phones. The user can create several versions of them selves which are saved on the left hand screen. The system is able to recognize which characteristics could fit with the face of a given person and apparently it tries to identify the gender of the user.
Brief description
Work that the situation appears in
Title | Publication Type | Year | Creator |
---|---|---|---|
Glow | Art | Diederik P. Kingma, Prafulla Dhariwal, Ars Electronica Futurelab (AT) |
Who does what?
This entity
is/are
This entity
is/are
This technology
This technology
This entity
is/are
Aesthetic characteristics
Machine P.O.V
Not machine P.O.V.
Record Status
Authored by
UUID
9599bdf9-2609-4ebd-a276-e6c243d0bb12