Xiaobin Wei — accepted AI-conference papers

2025

Hash-GS: Anchor-Based 3D Gaussian Splatting with Multi-Resolution Hash Encoding for Efficient Scene Reconstruction

Yijia Xie, Yuhang Lin, Laijian Li, Lina Liu, Xiaobin Wei, Yong Liu +1

ICRA 2025

Realistic 3D object and scene reconstruction is pivotal in advancing fields such as world model simulation and embodied intelligence. In this paper, we introduce Hash-GS, a storage-efficient method for large-scale scene reconstruction using anchor-based 3D Gaussian Splatting (3DGS). The vanilla 3DGS

Cited by 1 Source ↗Scholar ↗

2025

OARecon: Object-Aware Viewpoint Augmentation for Indoor Compositional Reconstruction

Yuanyuan Ding, Yiming Fei, Jiandang Yang, Xiaobin Wei, Jiajun Lv, Yong Liu

ICASSP 2025accepted

Real-world scenes likely involve repetitive objects indicating that the reconstruction of the target object can be supplemented by the views of other identical objects. However, traditional 3D reconstruction methods do not take this a priori knowledge into account and fail to make full use of the av…

Cited by 0 Source ↗Scholar ↗