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 2023, 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.
Submission Date: 13th March 2023 (11:59PM PST)
Notification Date: 4th April 2023 (11:59PM PST)
Camera-Ready Date: 14th April 2023 (11:59PM PST)
We will provide an award to the best paper of the workshop: $3000 in AWS Cloud Credits.
Schedule (East Ballroom B)
13:00 - 13:10 Opening remarks
13:10 - 13:40 Keynote Talk: Aaron Hertzmann
13.40 - 14:25 Oral Presentations - Accepted Papers
13:40 - FreqHPT: Frequency-aware attention and flow fusion for Human Pose Transfer [paper] [poster] [video]
13:55 - Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models [paper] [poster] [video]
14:10 - Gatha: Relational Loss for enhancing text-based style transfer [paper] [poster] [video]
14:30 - 15.30 Poster Session at West Exhibit Hall #78 - #89 and Zoom
15.30 - 16:00 Keynote Talk: Ahmed Elgammal
16:00 - 16:30 Keynote Talk: Björn Ommer
16:30 - 17:00 Oral Presentations - Accepted Papers
16:30 - SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts [paper] [supplement] [poster] [video]
16:45 - Shape of You: Precise shape estimations for diverse body types [paper] [poster] [video]
17:00 - 17:10 Closing remarks
All times are in local time
Keynote speakers
Adobe Research / University of Washington
Rutgers University
Ludwig Maximilian University (LMU)
Contact
For general questions regarding the workshop, please contact Leonidas Lefakis.