Computer Vision Art Gallery

ICCV 2019, Seoul, Korea

In 2019, for the Second Workshop on Computer Vision for Fashion, Art and Design, at the International Conference on Computer Vision (ICCV) in Seoul, South Korea, 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. Many artists 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 the organizers. Some of these works were selected for their technical novelty, some for their aesthetic merit, some for their conceptual contribution.

Other Years

ECCV 2018, Munich • CVPR 2021, Online

Winner

Shortlist

All Accepted Works

Organizers

The 2019 ICCV Computer Vision Art Gallery was organized by Luba Elliott and Xavier Snelgrove.

The gallery was part of the Second Workshop on Computer Vision for Fashion, Art and Design, which was organized by Negar Rostamzadeh, Hui Wu, Ping Luo, Julia Lasserre, Xavier Snelgrove, David Vazquez, Thomas Boquet, Yuying Ge, Wayne Zhang, Leonidas Lefakis, Ruimao Zhang, Wei Zhang, and Reza Shirvany