Fourth Workshop on

Computer Vision for Fashion, Art, and Design

Online Virtual Event, June 25th 2021

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


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 three years in a row, CVFAD workshop series have been capturing important trends and new ideas in this area. At CVPR 2021, 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.


Kavita Bala

Cornell University

Michael Black

Max Planck Institute for Intelligent Systems

Kristen Grauman

University of Texas at Austin

Javier Romero


Ralf Herbrich



Reza Shirvany


Ziad Al-Halah

University of Texas at Austin

Leonidas Lefakis


Hadi Kiapour


Julia Lasserre