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cs.CV2026

Robust and Efficient Monocular 3D Gaussian SLAM for Kilometer-Scale Outdoor Scenes

Sicheng Yu, Dongxu Shen, Beizhen Zhao +2

Scaling monocular 3D Gaussian Splatting (3DGS) SLAM to kilometer-level outdoor environments poses two tightly coupled challenges: fragile long-term pose tracking and excessive memo…

cs.CV2026

MMGS: 10 Compressed 3DGS through Optimal Transport Aggregation based on Multi-view Ranking

Beizhen Zhao, Sicheng Yu, Ziran Yin +2

While 3D Gaussian Splatting (3DGS) has revolutionized 3D reconstruction, it suffers from significant overhead due to massive redundant primitives. Existing compression methods typi…

cs.CV2026

3D Skew Gaussian Splatting with Any Camera Trajectory Visualization Engine

Beizhen Zhao, Yifan Zhou, Gaochao Song +2

While 3D Gaussian Splatting (3DGS) has revolutionized real-time photorealistic view synthesis, its fundamental reliance on symmetric Gaussian distributions introduces visual artifa…

cs.CV2026

Pseudo-View Enhancement via Confidence Fusion for Unposed Sparse-View Reconstruction

Beizhen Zhao, Sicheng Yu, Guanzhi Ding +2

3D scene reconstruction under unposed sparse viewpoints is a highly challenging yet practically important problem, especially in outdoor scenes due to complex lighting and scale va…

cs.CV2025

RegGS: Unposed Sparse Views Gaussian Splatting with 3DGS Registration

Chong Cheng, Yu Hu, Sicheng Yu +3

3D Gaussian Splatting (3DGS) has demonstrated its potential in reconstructing scenes from unposed images. However, optimization-based 3DGS methods struggle with sparse views due to…

cs.CV2025

EG-Gaussian: Epipolar Geometry and Graph Network Enhanced 3D Gaussian Splatting

Beizhen Zhao, Yifan Zhou, Zijian Wang +1

In this paper, we explore an open research problem concerning the reconstruction of 3D scenes from images. Recent methods have adopt 3D Gaussian Splatting (3DGS) to produce 3D scen…