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PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
Experiments on indoor and outdoor scenes show that our method achieves fast training and rendering while maintaining high-fidelity rendering and geometric reconstruction, outperforming 3DGS-based and NeRF-based methods.
Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAM
In this paper, we propose a novel method that integrates a light-weight depth completion network into a sparse SLAM system using a multi-basis depth representation, so that dense mapping can be performed online even on a mobile phone.
VIP-SLAM: An Efficient Tightly-Coupled RGB-D Visual Inertial Planar SLAM
Even if the plane parameters are involved in the optimization, we effectively simplify the back-end map by using planar structures.
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