4 papers · 1 filter
PhysReal: Learning Real-World Deformable Object Physics via Hybrid Constitutive Modeling
Yinan Deng, Jianqiao Song, Yisi Zhang +3
Learning physically plausible dynamics from visual observations is essential for interactive world models and embodied agents. However, modeling real-world deformable objects remai…
OmniMap: A General Mapping Framework Integrating Optics, Geometry, and Semantics
Yinan Deng, Yufeng Yue, Jianyu Dou +5
Robotic systems demand accurate and comprehensive 3D environment perception, requiring simultaneous capture of photo-realistic appearance (optical), precise layout shape (geometric…
OpenMulti: Open-Vocabulary Instance-Level Multi-Agent Distributed Implicit Mapping
Jianyu Dou, Yinan Deng, Jiahui Wang +3
Multi-agent distributed collaborative mapping provides comprehensive and efficient representations for robots. However, existing approaches lack instance-level awareness and semant…
LCP-Fusion: A Neural Implicit SLAM with Enhanced Local Constraints and Computable Prior
Jiahui Wang, Yinan Deng, Yi Yang +1
Recently the dense Simultaneous Localization and Mapping (SLAM) based on neural implicit representation has shown impressive progress in hole filling and high-fidelity mapping. Nev…