Project description
Towards generalisable 3D human understanding in open-world AI
The rapid growth of AI and the integration of large language model (LLM) technologies across a wide variety of services and applications have underscored the need for improved visual learning and sensor solutions for the future of AI. The complexity, dynamism, and depth of environments, as well as human motion and behaviour, make this a distinctly difficult task, leading most methods to struggle in open-world settings where they need to generalise beyond domain-specific training data. The ERC-funded Human3D project will develop and research generalisable visual representations from large-scale training data, followed by the creation of a foundation model for supporting human analysis and modelling tasks in 3D environments in open-world settings.
Objective
The world is entering the age of autonomy, where systems like self-driving cars and assistive robots face the challenge of perceiving and understanding human behavior in complex, dynamic environments through sensory inputs like images. While human motion and behavior have been studied extensively using visual data, existing methods often struggle in open-world settings due to their inability to generalize beyond domain-specific training data. The goal of this project is to learn generalizable visual representations from large-scale training data and create a foundational model that supports various human analysis and modeling tasks, grounded in 3D environments, in an open-world setting. Our key objectives include (1) Devising new human-centric representations and algorithms for accurate 3D human motion and appearance reconstruction from in-the-wild videos. (2) Developing advanced generative models synthesizes large-scale, realistic virtual humans, emphasizing controllability and efficiency. (3) Designing physics-guided methods for long-duration human-scene interaction capture using embodied devices. (4) Studying efficient learning algorithms and unified model architectures for 3D human foundation models that enable efficient fine-tuning and generalization across various human-centric computer vision tasks. We aim to establish the computational and algorithmic groundwork for human-centric visual foundation models, with advancement in generative modeling, human-centric representation learning, and visual data simulation. Our work will facilitate the development of autonomous AI agents for various sectors, including autonomous driving, extended reality, education, and manufacturing. Ultimately, this project is committed to advancing human-centric AI technologies, fostering more robust and effective human-AI interaction, and paving the way for practical applications that significantly improve everyday life and industrial processes.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence computer vision motion analysis
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
8092 Zuerich
Switzerland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.