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20242026
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cs.CV2026

PaMoSplat: Part-Aware Motion-Guided Gaussian Splatting for Dynamic Scene Reconstruction

Yinan Deng, Jianyu Dou, Jiahui Wang +3

Dynamic scene reconstruction represents a fundamental yet demanding challenge in computer vision and robotics. While recent progress in 3DGS-based methods has advanced dynamic scen…

cs.CV2026

FilterGS: Traversal-Free Parallel Filtering and Adaptive Shrinking for Large-Scale LoD 3D Gaussian Splatting

Yixian Wang, Haolin Yu, Jiadong Tang +4

3D Gaussian Splatting has revolutionized neural rendering with real-time performance. However, scaling this approach to large scenes using Level-of-Detail methods faces critical ch…

cs.CV2025

DroneSplat: 3D Gaussian Splatting for Robust 3D Reconstruction from In-the-Wild Drone Imagery

Jiadong Tang, Yu Gao, Dianyi Yang +3

Drones have become essential tools for reconstructing wild scenes due to their outstanding maneuverability. Recent advances in radiance field methods have achieved remarkable rende…

cs.CV2025

GaussianGraph: 3D Gaussian-based Scene Graph Generation for Open-world Scene Understanding

Xihan Wang, Dianyi Yang, Yu Gao +3

Recent advancements in 3D Gaussian Splatting(3DGS) have significantly improved semantic scene understanding, enabling natural language queries to localize objects within a scene. H…

cs.CV2025

OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding

Dianyi Yang, Yu Gao, Xihan Wang +3

Recent advancements in 3D Gaussian Splatting have significantly improved the efficiency and quality of dense semantic SLAM. However, previous methods are generally constrained by l…

cs.CV2024

Open-RGBT: Open-vocabulary RGB-T Zero-shot Semantic Segmentation in Open-world Environments

Meng Yu, Luojie Yang, Xunjie He +2

Semantic segmentation is a critical technique for effective scene understanding. Traditional RGB-T semantic segmentation models often struggle to generalize across diverse scenario…