Shayda Moezzi on Muck Rack

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Articles

Computer Science > Computer Vision and Pattern Recognition

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By Shayda Moezzi, Xiangyu Bai, Sarah Ostadabbas
| 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.
Open in Who Shared View Duplicates (279) Issue with article?

[2512.14406] Broadening View Synthesis of Dynamic Scenes from Constrained Monocular Videos

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By Shaotong Zhu, Shayda Moezzi, Sarah Ostadabbas, Yedi Luo
| 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.
Open in Who Shared View Duplicates (679) Issue with article?

MoReGen: Multi-Agent Motion-Reasoning Engine for Code-based Text-to-Video Synthesis

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By Utsav Nandi, Yuhang He, Bishoy Galoaa, Shayda Moezzi
| 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.
Open in Who Shared View Duplicates (279) Issue with article?
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