1 code implementation • 1 Apr 2024 • Ruowen Zhao, Zhengyi Wang, Yikai Wang, Zihan Zhou, Jun Zhu
However, due to the challenge of directly deforming the mesh representation to approach the target topology, most methodologies learn an implicit representation (such as NeRF) during the sparse-view reconstruction and acquire the target mesh by a post-processing extraction.
no code implementations • 20 Jun 2023 • Yucheng Mao, Ruowen Zhao, Tianbao Zhang, Hang Zhao
Depth estimation is a cornerstone of perception in autonomous driving and robotic systems.
1 code implementation • 27 Feb 2023 • Pengfei Li, Ruowen Zhao, Yongliang Shi, Hao Zhao, Jirui Yuan, Guyue Zhou, Ya-Qin Zhang
In this paper, we propose a novel Eikonal formulation that conditions the implicit representation on localized shape priors which function as dense boundary value constraints, and demonstrate it works on SemanticKITTI and SemanticPOSS.