Paper submission deadline: 27.06.2025
Notification to authors: 10.07.2025
Camera-ready deadline: 10.08.2025
Paper submission deadline: 15.08.2025
Notification to authors: 25.08.2025
Camera-ready deadline: 30.08.2025
https://cmt3.research.microsoft.com/CVFAD2025
Creative domains, such as fashion, art and design, are a significant part of modern society, and much effort centers around the creation, consumption and analytics of creative 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, including generating, analyzing and processing visual content.
The Computer Vision for Fashion, Art, and Design (CVFAD) workshop, in its 8th edition, aims to build on the success of the previous versions, and on the increased interest witnessed over time, to create a space for collaboration between artists, professionals in creative industries and computer vision scientists.
The workshop will provide multiple keynotes with diverse backgrounds to encourage interdisciplinary discussions and idea sharing, as well as a paper track. For the paper track, we solicit papers on developing and applying computer vision techniques that are valuable in the creative domains, with an emphasis on fashion, art and design.
To provide rich opportunities to share opinions and experience in such an emerging field, we will accept paper submissions on established and novel ideas, as well as workshop challenges. Topics of papers include but are not limited to:
3D content generation for design and style
Style and product recommendation
Cross-domain visual search for fashion
Visual size and fit advice
Virtual try-on/wardrobe
Body shape prediction
Automatic article tagging
Trend analysis and forecasting
Efficient methods for fashion search
Fashion analysis in videos
Design with humans in the loop
Creative Visual Content Generation
Clothing landmark estimation
Style propagation modeling
Ethical aspects of creative AI
This year the CVFAD workshop is soliciting two types of papers : extended abstracts and full papers.
Full paper submissions will undergo a peer-review process. Authors of accepted full papers choose to include their paper as part of the ICCV Workshop Proceedings. Additionally all accepted full papers will appear on the workshop website and be eligible to be selected for an oral presentation at the workshop. The page limits for full paper submission are between 6 and 8 pages excluding references. Papers will be peer reviewed under double-blind policy, and should follow the ICCV 2025 paper template.
Extended abstract submissions will undergo a light review by the workshop organisers to ensure the quality of relevance of the submission. Accepted extended abstracts will not be included in ICCV Workshop Proceeding but will appear on the workshop website and be eligible to be selected for an oral presentation at the workshop. The page limit for extended abstracts submission is 3 pages excluding references, and should follow the ICCV 2025 paper template.