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Gaussian Splat-Based Human Performance Reconstruction from Sparse Cameras

Lin, Zhenhui
Department
Computer Vision
Embargo End Date
2024-01-01
Type
Thesis
Date
2024
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English
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Abstract
Furthermore, a thorough dataset is carefully selected to assess the operation of the virtual human teleportation system in different lighting circumstances, demonstrating the adaptability and reliability of the GPS-Gaussian technique. The graphical interface is designed to be user-friendly and allows for online real-time reconstruction, visualization, and interaction with the virtual human teleportation system. This discovery has consequences that go beyond academic investigation and can be applied in several fields such as remote cooperation, entertainment, healthcare, and education.
Citation
Z. Lin, "Gaussian Splat-Based Human Performance Reconstruction from Sparse Cameras", M.S. Thesis, Computer Vision, MBZUAI, Abu Dhabi, UAE, 2024
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