Papers 3DGS
“3DGS” 태그가 달린 논문 633편 · 필터 해제
SGLoc: Semantic Localization System for Camera Pose Estimation from 3D Gaussian Splatting Representation
We propose SGLoc, a novel localization system that directly regresses camera poses from 3D Gaussian Splatting (3DGS) representation by leveraging semantic information. Our method utilizes the semantic relationship betwee…
3DGSCamera Pose EstimationPose Estimation3DGAA: Realistic and Robust 3D Gaussian-based Adversarial Attack for Autonomous Driving
Camera-based object detection systems play a vital role in autonomous driving, yet they remain vulnerable to adversarial threats in real-world environments. While existing 2D and 3D physical attacks typically optimize te…
3DGSAdversarial AttackAutonomous DrivingLighthouseGS: Indoor Structure-aware 3D Gaussian Splatting for Panorama-Style Mobile Captures
Recent advances in 3D Gaussian Splatting (3DGS) have enabled real-time novel view synthesis (NVS) with impressive quality in indoor scenes. However, achieving high-fidelity rendering requires meticulously captured images…
3DGSDepth EstimationMonocular Depth EstimationNovel View SynthesisReflections Unlock: Geometry-Aware Reflection Disentanglement in 3D Gaussian Splatting for Photorealistic Scenes Rendering
Accurately rendering scenes with reflective surfaces remains a significant challenge in novel view synthesis, as existing methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) often misinterpret ref…
3DGSDisentanglementNeRFNovel View Synthesis+13DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting
In autonomous robotic systems, precise localization is a prerequisite for safe navigation. However, in complex urban environments, GNSS positioning often suffers from signal occlusion and multipath effects, leading to un…
3DGSAutonomous DrivingAutonomous NavigationOutdoor Monocular SLAM with Global Scale-Consistent 3D Gaussian Pointmaps
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 employ a differentiable rendering pipel…
3DGSNovel View Synthesis3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation
Physical adversarial attack methods expose the vulnerabilities of deep neural networks and pose a significant threat to safety-critical scenarios such as autonomous driving. Camouflage-based physical attack is a more pro…
3DGSAdversarial AttackAutonomous DrivingTVG-SLAM: Robust Gaussian Splatting SLAM with Tri-view Geometric Constraints
Recent advances in 3D Gaussian Splatting (3DGS) have enabled RGB-only SLAM systems to achieve high-fidelity scene representation. However, the heavy reliance of existing systems on photometric rendering loss for camera t…
3DGSPose EstimationVoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding
3D Gaussian Splatting (3DGS) has become horsepower in high-quality, real-time rendering for novel view synthesis of 3D scenes. However, existing methods focus primarily on geometric and appearance modeling, lacking deepe…
3DGSInstance SegmentationNovel View SynthesisObject Localization+2EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting
Efficient three-dimensional reconstruction and real-time visualization are critical in surgical scenarios such as endoscopy. In recent years, 3D Gaussian Splatting (3DGS) has demonstrated remarkable performance in effici…
3DGS3D ReconstructionNovel View SynthesisOptical Flow Estimation+2PanSt3R: Multi-view Consistent Panoptic Segmentation
Panoptic segmentation of 3D scenes, involving the segmentation and classification of object instances in a dense 3D reconstruction of a scene, is a challenging problem, especially when relying solely on unposed 2D images…
2D Panoptic Segmentation3D geometry3DGS3D Reconstruction+3R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision
Neural rendering methods such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have achieved significant progress in photorealistic 3D scene reconstruction and novel view synthesis. However, most existin…
3DGS3D Reconstruction3D Scene ReconstructionAutonomous Driving+5RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories
Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have emerged as powerful tools for 3D reconstruction and SLAM tasks. However, their performance depends heavily on accurate camera pose priors. Existing appr…
3DGS3D ReconstructionCamera Pose EstimationNeRF+1GAF: Gaussian Action Field as a Dvnamic World Model for Robotic Mlanipulation
Accurate action inference is critical for vision-based robotic manipulation. Existing approaches typically follow either a Vision-to-Action (V-A) paradigm, predicting actions directly from visual inputs, or a Vision-to-3…
3DGSHRGS: Hierarchical Gaussian Splatting for Memory-Efficient High-Resolution 3D Reconstruction
3D Gaussian Splatting (3DGS) has made significant strides in real-time 3D scene reconstruction, but faces memory scalability issues in high-resolution scenarios. To address this, we propose Hierarchical Gaussian Splattin…
3DGS3D Reconstruction3D Scene ReconstructionNovel View Synthesis+13DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splatting
3D Gaussian Splatting (3DGS) has emerged as a promising approach for novel view synthesis, offering real-time rendering with high visual fidelity. However, its substantial storage requirements present significant challen…
3DGSImage Quality AssessmentNovel View SynthesisX-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability
Diffusion models are advancing autonomous driving by enabling realistic data synthesis, predictive end-to-end planning, and closed-loop simulation, with a primary focus on temporally consistent generation. However, the g…
3DGSAutonomous DrivingScene GenerationEfficient multi-view training for 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) has emerged as a preferred choice alongside Neural Radiance Fields (NeRF) in inverse rendering due to its superior rendering speed. Currently, the common approach in 3DGS is to utilize "singl…
3DGSInverse RenderingNeRFSSIMGraphGSOcc: Semantic-Geometric Graph Transformer with Dynamic-Static Decoupling for 3D Gaussian Splatting-based Occupancy Prediction
Addressing the task of 3D semantic occupancy prediction for autonomous driving, we tackle two key issues in existing 3D Gaussian Splatting (3DGS) methods: (1) unified feature aggregation neglecting semantic correlations …
3DGS3D Semantic Occupancy PredictionAutonomous DrivingGPU+1PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting
3D Gaussian splatting (3DGS) is an innovative rendering technique that surpasses the neural radiance field (NeRF) in both rendering speed and visual quality by leveraging an explicit 3D scene representation. Existing 3DG…
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