用几何拓扑物理先验，让动态4D内容生成更高效高质量
Dynamic Realms: 4D Content Analysis, Recovery and Generation with Geometric, Topological and Physical Priors
- 融合几何、拓扑与物理先验建模4D动态变化
- 实现高保真4D内容生成与恢复，提升效率与质量
- 适合虚拟现实、机器人等需要动态3D建模的领域
本研究聚焦于4D内容的分析、恢复与生成，其中4D包含三个空间维度（x, y, z）和一个时间维度（t），如形状与运动。该研究超越静态物体，涵盖随时间变化的动态过程，为时空变化提供全面理解。这些技术在AR/VR、具身智能和机器人等领域至关重要。通过引入几何、拓扑和物理先验，旨在使4D内容生成更高效、易用且质量更高，并开发基于这些先验的有效4D内容恢复与分析方法。
原文摘要 · Abstract (English)
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.
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