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.

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