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cs.CV2026
DrawSplat: Atlanta World-Guided Implicit Gaussian SLAM for Indoor Reconstruction
Fan Zhu, Zhisong Xu, Ziyu Chen +2
RGB-D SLAM requires accurate online tracking, high-quality rendering, and geometrically consistent reconstruction. Existing Gaussian SLAM methods mainly optimize Gaussian primitive…
cs.CV2026
F SLAM: Turning Feed-Forward Geometry into Persistent Factors for SLAM
Zhisong Xu, Fan Zhu, Jiawei Qian +3
Feed-forward 3D models provide strong multi-view geometric priors, while on- line simultaneous localization and mapping (SLAM) relies mainly on local mea- surements and can accumul…
cs.CV2026
LR-SGS: Robust LiDAR-Reflectance-Guided Salient Gaussian Splatting for Self-Driving Scene Reconstruction
ZY Chen, F Zhu, H Zhu +4
Recent 3D Gaussian Splatting (3DGS) methods have demonstrated the feasibility of self-driving scene reconstruction and novel view synthesis. However, most existing methods either r…