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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…

cs.CV2024

OpenObj: Open-Vocabulary Object-Level Neural Radiance Fields with Fine-Grained Understanding

Yinan Deng, Jiahui Wang, Jingyu Zhao +3

In recent years, there has been a surge of interest in open-vocabulary 3D scene reconstruction facilitated by visual language models (VLMs), which showcase remarkable capabilities…

cs.CV2024

Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations

Yufeng Yue, Meng Yu, Luojie Yang +1

Image restoration is rather challenging in adverse weather conditions, especially when multiple degradations occur simultaneously. Blind image decomposition was proposed to tackle…

cs.CV2024

LGSDF: Continual Global Learning of Signed Distance Fields Aided by Local Updating

Yufeng Yue, Yinan Deng, Jiahui Wang +1

Implicit reconstruction of ESDF (Euclidean Signed Distance Field) involves training a neural network to regress the signed distance from any point to the nearest obstacle, which ha…

cs.CV2024

OpenGraph: Open-Vocabulary Hierarchical 3D Graph Representation in Large-Scale Outdoor Environments

Yinan Deng, Jiahui Wang, Jingyu Zhao +4

Environment representations endowed with sophisticated semantics are pivotal for facilitating seamless interaction between robots and humans, enabling them to effectively carry out…