Embodied Generative Systems
Embodied Generative Systems is a computational framework that integrates generative models with sensorimotor embodiment, enabling the system to dynamically produce adaptive behaviors and outputs through real-time interaction with physical or simulated environments.
18
Publications
605
Citations
57
Authors
25
Institutions
Publications per year
2017–2026
14
Parents
18
Generating 3D People in Scenes Without People
Yan Zhang, Mohamed S. Hassan, Heiko Neumann et al. · 2020 · 136 citations
Affordance Diffusion: Synthesizing Hand-Object Interactions
Yufei Ye, Xueting Li, Abhinav Gupta et al. · 2023 · 53 citations
1–5 of 18
57
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3
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3
h-index
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2
h-index
1–5 of 57
25
Nanyang Technological University
Singapore, Singapore
2 h-index
2 publications
154 citations

Birla Institute of Technology and Science, Pilani
Pilāni, India
2 h-index
2 publications
154 citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
2 h-index
2 publications
272 citations

Edinburgh Napier University
Edinburgh, United Kingdom
2 h-index
1 publications
77 citations
Universität Ulm
Ulm, Germany
1 h-index
2 publications
272 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
3 publications
159 citations
Beijing Institute for General Artificial Intelligence
Beijing, China
1 h-index
10 publications
330 citations

Carleton University
Ottawa, Canada
1 h-index
1 publications
77 citations
1–8 of 25
Repository · 2 publications · 26 citations
2
h-index
1 publications · 18 citations
1
h-index
1 publications · 16 citations
1
h-index
1 publications · 33 citations
1
h-index
IoTM · 1 publications · 77 citations
1
h-index
1–5