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.
Group members: Florian Bruggisser (lead), Chris Elvis Leisi. Projects: Shifting Realities Associated events: REFRESH X FANTOCHE, LAB Insights