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Articles

Computer Science > Computer Vision and Pattern Recognition

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By Philippe Weinzaepfel, Romain Brégier, Fabien Baradel
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2311.09104] Cross-view and Cross-pose Completion for 3D Human Understanding

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By Thomas Lucas, Vincent Leroy, Salma Galaaoui, Fabien Baradel
| arxiv.org
[Submitted on 15 Nov 2023 ( v1 ), last revised 18 Apr 2024 (this version, v2)] Title:Cross-view and Cross-pose Completion for 3D Human Understanding View a PDF of the paper titled Cross-view and Cross-pose Completion for 3D Human Understanding, by Matthieu Armando and 7 other authors View PDF HTML (experimental) Abstract:Human perception and understanding is a major domain of computer vision which, like many other vision subdomains recently, stands to gain from the use of large models...
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