PGA-NeuS: Physics and Geometry-Augmented Neural Implicit Surfaces for Rigid Bodies
收藏DataCite Commons2026-04-28 更新2026-05-04 收录
下载链接：
https://researchdata.ntu.edu.sg/citation?persistentId=doi:10.21979/N9/LTXKFL
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资源简介：
This paper tackles the challenges of physics-based simulation of rigid bodies in neural rendering, focusing on 3D model representation and collision handling. A synthetic and real-world dataset is also included in the paper.
提供机构：
DR-NTU (Data)
创建时间：
2025-05-19
