How are bodies represented digitally?
Explore new ways of representing and configuring bodies and experiences using machine learning models by transforming a two-dimensional image into a volumetric animation.
NEVO is a processing pipeline that combines multiple machine learning models to convert a two-dimensional images of a human into a volumetric animation. With the help of a database containing numerous 3D-models of humans, the algorithm is able to create sketchy virtual humans in 3D. The conversion is fully automatic and can be used to efficiently create sequences of three-dimensional digital humans.
NEVO is a vital part of the project reconFIGURE. It is an immersive installation that questions how human bodies and experiences are captured, represented and reconfigured by new computing and artificial intelligence.
