7 papers · 1 filter
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…
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…
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…
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…
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…
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…