Bosheng Wang — accepted AI-conference papers

2026

FaithFusion: Harmonizing Reconstruction and Generation via Pixel-wise Information Gain

YuAn Wang, Xiaofan Li, Chi Huang, Wenhao Zhang, Hao Li, Bosheng Wang +2

CVPR 2026

In controllable driving-scene reconstruction and 3D scene generation, maintaining geometric fidelity while synthesizing visually plausible appearance under large viewpoint shifts is crucial. However, effective fusion of geometry-based 3DGS and appearance-driven diffusion models faces inherent challe

Cited by 0 Source ↗Scholar ↗

2021

PSF-LO: Parameterized Semantic Features Based Lidar Odometry

Guibin Chen, Bosheng Wang, Xiaoliang Wang, Huanjun Deng, Bing Wang, Shuo Zhang

ICRA 2021poster

Lidar odometry (LO) is a key technology in numerous reliable and accurate localization and mapping systems of autonomous driving. The state-of-the-art LO methods generally leverage geometric information to perform point cloud registration. Furthermore, obtaining the point cloud semantic information…

Cited by 32 Source ↗Scholar ↗