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.
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.
FAIR, Meta AI & Georgia Tech
University of Tuebingen / MPI for Informatics
University of Surrey / Samsung AI Centre
IDS, Osaka University