7th Workshop on Computer Vision for Fashion, Art, and Design at CVPR 2024

June 17-18, 2024

Background

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 7th 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.

Call for submissions

The workshop will provide five 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. These submissions will undergo a peer-review process. 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

Accepted papers will be part of the workshop proceedings and be displayed on our website. The top papers will also be invited to present orally during the workshop. Submitted papers should follow the CVPR 2024 paper template. 

The page limit is less than four pages, excluding references. Submitted work can be shorter versions (extended abstract) of work presented at the main conference or work in progress which may (or may not) be submitted to a different conference at a later date. The accepted papers will be linked at the workshop webpage. Papers will be peer reviewed under double-blind policy, and must be submitted online through the CMT submission system at

https://cmt3.research.microsoft.com/CVFAD2024/

Authors can choose to include their paper as part of the CVPR Workshop Proceedings if the paper is not the shorter version of an accepted work in the CVPR 2024 proceedings. Papers which exceed the page limit (four pages excluding references) will result in rejection.

Important Dates:

• Paper submission deadline: March 13th (11:59PM PST)

• Notification to authors: April 6th (11:59PM PST)

• Camera-ready deadline: April 14th (11:59PM PST)

Dear distinguished AI Professor or Senior Scientist (PhD holder),
 
the International AI Doctoral Academy (AIDA) aims to become a reference initiative for AI education in Europe and implement mechanisms for inter-university sharing of AI educational assets at PhD-level. As part of the program, AIDA offers a series of courses on Artificial Intelligence and related fields given by distinguished lecturers.
 
We invite you to contribute to this initiative for the definition of the AIDA Spring 2024 semester program.
 
You can participate in the AIDA program by offering new or opening-up existing courses targeted to AIDA students^* or other students worldwide according to the participation terms of your own organization. Short/Very Short course formats (5-16 hours) are typically encouraged, while semester courses, or asynchronous mode web courses will be considered as well. Accepted courses will be listed on AIDA website (https://www.i-aida.org/) and will be advertised for free with the support of AIDA dissemination channels. Proposals for courses for the AIDA Spring 2024 semester program should be sent to: Prof. Prof. Stefano Berretti stefano.berretti@unifi.it, and Ms. Efi Patmanidou epatman@csd.auth.gr no later than January 31st, 2024 and will be evaluated by the AIDA Committee by February  10th, 2024.