Introduction

Creative domains play a vital role in modern society, shaping cultural life but also the economy and social dynamics. With the rapid advancement of generative AI and computer vision technologies, these fields are undergoing transformative changes, from enhancing artistic content retrieval, fashion, and curation to enabling synthetic media generation and novel artistic methods. The rise of creative platforms where communities develop, share, and assemble tools and systems for artistic creation is opening the doors to new forms of art, collaborations, and production of new types of media.

In addition, online fashion retail has gained popularity in the past decade, allowing customers to browse vast product selections without visiting multiple stores or enduring long checkout lines. Computer vision and AI are poised to revolutionize the fashion industry by enhancing customer experiences. Moreover, the emergence of social media offers exciting opportunities for fashion exploration in unprecedented ways. These developments pose compelling challenges for the machine learning and computer vision research communities. At the same time, creative AI technologies raise important ethical concerns, including representational harms related to data augmentation, generation, and the analysis of culturally sensitive content.

Our goal is to foster interdisciplinary discussions among researchers and practitioners in computer vision and machine learning, as well as artists, designers, sociotechnical researchers, policymakers, social scientists, and other cultural stakeholders. By creating a collaborative space, we aim to address complex challenges that arise at the intersection of generative AI, creativity, and ethics. Specifically, this workshop will encourage methodological work on the applications of computer vision technologies in art, fashion, retail, and design, generative art presentations and methodological advancements, retrospective discussions, position papers examining the societal impacts of creative AI applications such as cultural appropriation, environmental consequences of generative art, biases in AI-generated art. We welcome technical contributions in computer vision for fashion and creative content generation.

This year, we introduce an Art Gallery submission track with a participatory selection process to further engage the community. By bringing together a diverse set of researchers and practitioners in computer vision, fashion, art, and design, this workshop seeks to advance interdisciplinary discourse and foster collaboration across these domains. We aim to sustain and deepen conversations among professionals in fashion, art, and AI, ensuring a collective effort to tackle these evolving challenges.

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: 15.08.2025 (Extended abstracts : see Submission Instructions) 

Notification Date: 25.08.2025

Submission Portal

https://cmt3.research.microsoft.com/CVFAD2025

Keynote Speakers

Panelists (TBD)

Contact

For general questions regarding the workshop, please contact the organizers at this email.

Acknowledgment

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Sponsors