Foundation models (e.g., large language models (LLMs), large vision models, text-to-image generative models) are impacting nearly every area of computer vision and represent a paradigm shift from end-to-end learning of task-specific models to pretraining-finetuninng generalist models. Such a paradigm shift urgently calls for rethinking the new challenges and opportunities in the study of digital humans. This workshop is particularly focused on exploring two key questions: (1) how foundation models can help the study of digital humans; (2) how we can build foundation models for digital humans. The study of digital humans encompasses a wide breadth of research areas, from high-fidelity digital avatar modeling and lifelike human motion generation to human animation and behavior analysis. This workshop offers an in-depth exploration of the vibrant intersection between 3D digital human modeling and foundation models. We plan to bring experts in general foundation models and experts in 3D digital humans together to exchange ideas and discuss open challenges.

We invite submissions that explore two following questions from diverse perspectives and methodologies:

1. How can foundation models enhance the study of digital humans?
2. How can we develop foundation models specifically for digital humans?

Submission site: https://openreview.net/group?id=thecvf.com/ECCV/2024/Workshop/HumanFoundation

We welcome both archival and non-archival paper submissions.

• Archival submission:
• It will be included in the official ECCV 2024 conference proceedings.
• The poster presentation is mandatory at the workshop.
• The submission should follow the ECCV paper format: ECCV Template
• Short paper should not exceed 7 pages excluding references. Short papers are intended for presenting ideas that are still at an early stage. Although comprehensive analyses and experiments are not necessary for short papers, they should have some basic experiments to support their claims.
• Long paper should not exceed 14 pages excluding references. Long papers are for presenting mature works. A long paper should not only describe novel ideas but also include extensive experimental evaluations that support the proposed ideas. Papers exceeding 14 pages will be desk-rejected.
• Non-archival submission:
• It can be accepted at the ECCV main conference or at other conferences. Accepted papers will be featured on the workshop non-archival page.
• The poster presentation is mandatory at the workshop.
• No format is required.

All submissions will undergo a peer-review process. Accepted papers will be presented during the workshop.