Dynamic Realms: 4D Content Analysis, Recovery and Generation with Geometric, Topological and Physical Priors

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1. Verfasser: Dou, Zhiyang
Format: Preprint
Veröffentlicht: 2024
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author Dou, Zhiyang
author_facet Dou, Zhiyang
contents My research focuses on the analysis, recovery, and generation of 4D content, where 4D includes three spatial dimensions (x, y, z) and a temporal dimension t, such as shape and motion. This focus goes beyond static objects to include dynamic changes over time, providing a comprehensive understanding of both spatial and temporal variations. These techniques are critical in applications like AR/VR, embodied AI, and robotics. My research aims to make 4D content generation more efficient, accessible, and higher in quality by incorporating geometric, topological, and physical priors. I also aim to develop effective methods for 4D content recovery and analysis using these priors.
format Preprint
id arxiv_https___arxiv_org_abs_2409_14692
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Dynamic Realms: 4D Content Analysis, Recovery and Generation with Geometric, Topological and Physical Priors
Dou, Zhiyang
Computer Vision and Pattern Recognition
Graphics
My research focuses on the analysis, recovery, and generation of 4D content, where 4D includes three spatial dimensions (x, y, z) and a temporal dimension t, such as shape and motion. This focus goes beyond static objects to include dynamic changes over time, providing a comprehensive understanding of both spatial and temporal variations. These techniques are critical in applications like AR/VR, embodied AI, and robotics. My research aims to make 4D content generation more efficient, accessible, and higher in quality by incorporating geometric, topological, and physical priors. I also aim to develop effective methods for 4D content recovery and analysis using these priors.
title Dynamic Realms: 4D Content Analysis, Recovery and Generation with Geometric, Topological and Physical Priors
topic Computer Vision and Pattern Recognition
Graphics
url https://arxiv.org/abs/2409.14692