most citedRGB-Only Gaussian Splatting SLAM for Unbounded Outdoor Scenes

12 citations · 12 across the 9 of their papers we have counts for

collaborators

10 papers

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

Generator-Refiner-Examiner: A Tri-Module Data Augmentation Framework for 3D Human Avatar Learning from Monocular Videos

Gangjian Zhang, Jian Shu, Sicheng Yu +3

This paper addresses the challenge of reconstructing photorealistic and animatable 3D human avatars from monocular videos. While existing methods rely on combining per-subject opti…

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

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

VGGT4D: Mining Motion Cues in Visual Geometry Transformers for 4D Scene Reconstruction

Yu Hu, Chong Cheng, Sicheng Yu +2

Reconstructing dynamic 4D scenes is challenging, as it requires robust disentanglement of dynamic objects from the static background. While 3D foundation models like VGGT provide a…

cs.CV2025

Unposed 3DGS Reconstruction with Probabilistic Procrustes Mapping

Chong Cheng, Zijian Wang, Sicheng Yu +3

3D Gaussian Splatting (3DGS) has emerged as a core technique for 3D representation. Its effectiveness largely depends on precise camera poses and accurate point cloud initializatio…

cs.CV2025

Outdoor Monocular SLAM with Global Scale-Consistent 3D Gaussian Pointmaps

Chong Cheng, Sicheng Yu, Zijian Wang +2

3D Gaussian Splatting (3DGS) has become a popular solution in SLAM due to its high-fidelity and real-time novel view synthesis performance. However, some previous 3DGS SLAM methods…

cs.GR2025

Wavelet-GS: 3D Gaussian Splatting with Wavelet Decomposition

Beizhen Zhao, Yifan Zhou, Sicheng Yu +2

3D Gaussian Splatting (3DGS) has revolutionized 3D scene reconstruction, which effectively balances rendering quality, efficiency, and speed. However, existing 3DGS approaches usua…

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★ 12 cited

RGB-Only Gaussian Splatting SLAM for Unbounded Outdoor Scenes

Sicheng Yu, Chong Cheng, Yifan Zhou +2

3D Gaussian Splatting (3DGS) has become a popular solution in SLAM, as it can produce high-fidelity novel views. However, previous GS-based methods primarily target indoor scenes a…