5th Workshop on Computer Vision for Fashion, Art, and Design

Virtual and in Person at New Orleans, Louisiana, June 19th 2022

See the previous versions of the CVFAD workshop from 2021, 2020, 2019 and 2018

Introduction

Creative domains render a big part of modern society, having a strong influence on the economy and cultural life. Much effort within creative domains, such as fashion, art and design, center around the creation, consumption, manipulation and analytics of visual content. In recent years, there has been an explosion of research in applying machine learning and computer vision algorithms to various aspects of the creative domains. For four years in a row, CVFAD workshop series have been capturing important trends and new ideas in this area. At CVPR 2022, CVFAD will continue to bring together artists, designers, and computer vision researchers and engineers. We will keep growing the workshop itself to be a space for conversations and idea exchanges at the intersection of computer vision and creative applications.

Paper submission

We solicit paper submissions on novel methods and application scenarios of CV and ML for creative applications. Areas of application include fashion, art, music, design, etc. We accept papers on a variety of topics, including generative models, retrieval, product recommendation, image segmentation, attribute discovery and trend forecast, etc.

The deadline for submissions is March 18th. Please visit our submission page for instructions.

Schedule

Our schedule is now online here

Keynote speakers

Devi Parikh

FAIR, Meta AI & Georgia Tech

Gerard Pons-Moll

University of Tuebingen / MPI for Informatics

Tao Xiang

University of Surrey / Samsung AI Centre

Noa Garcia

IDS, Osaka University

Organizers

Ziad Al-Halah

University of Texas at Austin

Nour Karessli

Zalando SE

Julia Lasserre

Zalando SE

Leonidas Lefakis

Zalando SE

Reza Shirvany

Zalando SE

Mariya Vasileva

Amazon

Contact

For general questions regarding the workshop, please contact Leonidas Lefakis.

Sponsor