Cheng Bi — accepted AI-conference papers

2026

RGS: Reflection-Aware Gaussian Splatting Via Learning Geometry Continuity for Reflective Objects

Xiaobiao Du, Yida Wang, Cheng Bi, Kun Zhan, Yu Xin

ICRA 2026poster

Gaussian Splatting has significantly improved the quality of novel view synthesis with explicit Gaussian representation. However, we observed that existing 3D Gaussian Splatting methods (3DGS) often suffer from surface collapse issues on reflective regions, and thus produce inferior geometry and low…

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2026

Unposed-to-3D: Learning Simulation-Ready Vehicles from Real-World Images

Hongyuan Liu, Bochao Zou, Qiankun Liu, Haochen Yu, Qi Mei, Jianfei Jiang +7

CVPR 2026

Creating realistic and simulation-ready 3D assets is crucial for autonomous driving research and virtual environment construction. However, existing 3D vehicle generation methods are often trained on synthetic data with significant domain gaps from real-world distributions. The generated models ofte

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