Boquan Zhang — accepted AI-conference papers

2026

Frequency-Guided 3D Gaussian Splatting for Challenging Low-Light View Synthesis

Zhaoyuan Mai, Bi Zeng, Boquan Zhang, Tianle Zeng, Jingxuan Lu, Jiarong Feng

ICRA 2026poster

Robust 3D scene understanding is crucial for autonomous robots, but degrades sharply in low-light environments where sensor noise and illumination inconsistencies corrupt visual inputs. Even 3D Gaussian Splatting (3DGS), while efficient for real-time reconstruction, produces unstable and artifact-pr…

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2025

MAD-GS:3D Gaussian Splatting for Motion and Defocus Images in Robotic Vision

Tianle Zeng, Bi Zeng, Boquan Zhang, Ziqi Zheng

IROS 2025

Recent advancements in 3D Gaussian Splatting (3DGS) have significantly improved novel view synthesis, playing a crucial role in robotic vision and scene reconstruction. However, 3DGS relies heavily on precise camera poses and sharp images, which are often difficult to obtain in real-world robotic ap

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