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The Visual Computing and Artificial Intelligence Department investigates foundational research problems at the intersection of Computer Graphics, Computer Vision and Artificial Intelligence. It is our long term vision to develop entirely new ways to capture, represent, synthesize and simulate models of the real world at highest detail, robustness, and efficiency. To achieve this long term goal, we develop new concepts that rethink and unite established approaches from Computer Graphics and Computer Vision with concepts from Artificial Intelligence, in particular Machine Learning.
Our work lays the foundations for a new of thinking about computer graphics, and a new way of uniting and enriching the real world with computer graphics technology. It also lays the foundations for advanced methods to better perceive, understand and interpret the complex real world in motion surrounding us from visual observation, which is an essential capability of future intelligent computing systems that safely and intuitively interact with humans and the human world.
研究兴趣
论文共 526 篇作者统计合作学者相似作者
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Muhammad Hamza Mughal,Rishabh Dabral,Ikhsanul Habibie, Lucia Donatelli,Marc Habermann,Christian Theobalt
arxiv(2024)
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2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)pp.3065-3075, (2024)
Raza Yunus,Jan Eric Lenssen,Michael Niemeyer,Yiyi Liao,Christian Rupprecht,Christian Theobalt,Gerard Pons-Moll, Jia-Bin Huang,Vladislav Golyanik,Eddy Ilg
arxiv(2024)
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2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)pp.4167-4176, (2024)
Pramod Rao, B. R. Mallikarjun,Gereon Fox,Tim Weyrich,Bernd Bickel,Hanspeter Pfister,Wojciech Matusik,Fangneng Zhan, Ayush Tewari,Christian Theobalt,Mohamed Elgharib
International Journal of Computer Visionno. 4 (2024): 1148-1166
IEEE transactions on visualization and computer graphicsno. 99 (2024): 1-12
CVPR 2023 (2023): 1296-1305
ICLR 2023 (2023)
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