Computer Vision Art Gallery
In 2018, for the First
Workshop on Computer Vision for Fashion, Art and Design, at the
European Conference on Computer Vision (ECCV) in Munich, Germany, a call was
put out for artworks dealing with computer vision technologies.
Computer vision techniques have long been connected to the arts. From the study
of visual art with computer vision techniques, to the development of new vision
techniques based on insights from the arts community, to artwork generated
algorithmically, there is a rich history of exchange between the fields.
In recent years the success of a new crop of generative models is creating
excitement and change in vision and graphics, and these new approaches to
creation have led to a rich community of artistic exploration as well, much of
which is happening in online visual culture. Artists such as Mario Klingemann,
Anna Ridler, Memo Akten and Kyle McDonald have incorporated computer vision
techniques into their artistic practice to explore novel ways of representing
the human form, experiment with datasets of their own drawings and critique the
machine’s ability to understand the world.
Further, the outsized influence of computer vision techniques in socially
important areas such as healthcare, ubiquitous surveillance, autonomous
vehicles and robotics, and warfare makes a social and artistic engagement with
the field vital.
Here we present works from 30+ artists from around the world, selected from an
open call by a jury of artists, technologists, and curators: Luba Elliott,
Mario Klingemann, Samim Winiger, Sougwen Chung, Xavier Snelgrove, Irini
Papadimitriou and Gene Kogan. Some of these works were selected for their
technical novelty, some for their aesthetic merit, some for their conceptual