{"total":139,"rows":[{"id":"2312.00732","title":"Gaussian Grouping: Segment and Edit Anything in 3D Scenes","created":"2023-12-01","cited_by_count":393,"area":null},{"id":"2312.10671","title":"Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance","created":"2023-12-17","cited_by_count":124,"area":null},{"id":"2311.15707","title":"SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation","created":"2023-11-27","cited_by_count":117,"area":null},{"id":"2411.07184","title":"SAMPart3D: Segment Any Part in 3D Objects","created":"2024-11-11","cited_by_count":97,"area":null},{"id":"2504.11451","title":"PARTFIELD: Learning 3D Feature Fields for Part Segmentation and Beyond","created":"2025-04-15","cited_by_count":95,"area":null},{"id":"2312.11557","title":"SAI3D: Segment Any Instance in 3D Scenes","created":"2023-12-17","cited_by_count":90,"area":null},{"id":"2309.00616","title":"OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation","created":"2023-09-01","cited_by_count":82,"area":null},{"id":"2312.17232","title":"Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels","created":"2023-12-28","cited_by_count":64,"area":null},{"id":"2507.06165","title":"OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion","created":"2025-07-08","cited_by_count":61,"area":null},{"id":"2401.07745","title":"MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation","created":"2024-01-15","cited_by_count":56,"area":null},{"id":"2406.17741","title":"Point-SAM: Promptable 3D Segmentation Model for Point Clouds","created":"2024-06-25","cited_by_count":50,"area":null},{"id":"2311.17707","title":"SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Instance Segmentation","created":"2023-11-29","cited_by_count":44,"area":null},{"id":"2403.14418","title":"OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation","created":"2024-03-21","cited_by_count":44,"area":null},{"id":"2509.06784","title":"P3-SAM: Native 3D Part Segmentation","created":"2025-09-08","cited_by_count":43,"area":null},{"id":"2408.11811","title":"EmbodiedSAM: Online Segment Any 3D Thing in Real Time","created":"2024-08-21","cited_by_count":40,"area":null},{"id":"2312.08372","title":"SAM-guided Graph Cut for 3D Instance Segmentation","created":"2023-12-13","cited_by_count":35,"area":null},{"id":"2409.18431","title":"Search3D: Hierarchical Open-Vocabulary 3D Segmentation","created":"2024-09-27","cited_by_count":31,"area":null},{"id":"2403.09639","title":"GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding","created":"2024-03-14","cited_by_count":26,"area":null},{"id":"2507.15454","title":"ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting","created":"2025-07-21","cited_by_count":25,"area":null},{"id":"2312.05284","title":"SlimSAM: 0.1% Data Makes Segment Anything Slim","created":"2023-12-08","cited_by_count":20,"area":null},{"id":"2506.07697","title":"OpenSplat3D: Open-Vocabulary 3D Instance Segmentation using Gaussian Splatting","created":"2025-06-09","cited_by_count":20,"area":null},{"id":"2311.14262","title":"ZeroPS: High-quality Cross-modal Knowledge Transfer for Zero-Shot 3D Part Segmentation","created":"2023-11-24","cited_by_count":18,"area":null},{"id":"2401.05906","title":"PartSTAD: 2D-to-3D Part Segmentation Task Adaptation","created":"2024-01-11","cited_by_count":18,"area":null},{"id":"2408.16768","title":"SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners","created":"2024-08-29","cited_by_count":18,"area":null},{"id":"2403.10001","title":"Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation","created":"2024-03-15","cited_by_count":15,"area":null},{"id":"2407.03263","title":"A Unified Framework for 3D Scene Understanding","created":"2024-07-03","cited_by_count":15,"area":null},{"id":"2411.16183","title":"Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking","created":"2024-11-25","cited_by_count":15,"area":null},{"id":"2404.03219","title":"iSeg: Interactive 3D Segmentation via Interactive Attention","created":"2024-04-04","cited_by_count":14,"area":null},{"id":"2405.00256","title":"ASAM: Boosting Segment Anything Model with Adversarial Tuning","created":"2024-05-01","cited_by_count":12,"area":null},{"id":"2407.10084","title":"Part2Object: Hierarchical Unsupervised 3D Instance Segmentation","created":"2024-07-14","cited_by_count":12,"area":null},{"id":"2503.01309","title":"OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging","created":"2025-03-03","cited_by_count":12,"area":null},{"id":"2404.01727","title":"Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge","created":"2024-04-02","cited_by_count":11,"area":null},{"id":"2408.09115","title":"GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation","created":"2024-08-17","cited_by_count":11,"area":null},{"id":"2507.08416","title":"InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes","created":"2025-07-11","cited_by_count":11,"area":null},{"id":"2407.09648","title":"3x2: 3D Object Part Segmentation by 2D Semantic Correspondences","created":"2024-07-12","cited_by_count":10,"area":null},{"id":"2504.13153","title":"Training-Free Hierarchical Scene Understanding for Gaussian Splatting with Superpoint Graphs","created":"2025-04-17","cited_by_count":10,"area":null},{"id":"2504.19500","title":"Masked Point-Entity Contrast for Open-Vocabulary 3D Scene Understanding","created":"2025-04-28","cited_by_count":10,"area":null},{"id":"2508.11256","title":"Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception","created":"2025-08-15","cited_by_count":10,"area":null},{"id":"2603.16869","title":"SegviGen: Repurposing 3D Generative Model for Part Segmentation","created":"2026-03-17","cited_by_count":10,"area":null},{"id":"2401.16305","title":"MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection","created":"2024-01-29","cited_by_count":9,"area":null},{"id":"2403.06403","title":"PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models","created":"2024-03-11","cited_by_count":9,"area":null},{"id":"2404.06836","title":"O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation","created":"2024-04-10","cited_by_count":9,"area":null},{"id":"2511.16659","title":"PartUV: Part-Based UV Unwrapping of 3D Meshes","created":"2025-11-20","cited_by_count":9,"area":null},{"id":"2509.19995","title":"MeshMosaic: Scaling Artist Mesh Generation via Local-to-Global Assembly","created":"2025-09-24","cited_by_count":8,"area":null},{"id":"2511.06457","title":"Inpaint360GS: Efficient Object-Aware 3D Inpainting via Gaussian Splatting for 360{\\deg} Scenes","created":"2025-11-09","cited_by_count":8,"area":null},{"id":"2512.14364","title":"Unified Semantic Transformer for 3D Scene Understanding","created":"2025-12-16","cited_by_count":8,"area":null},{"id":"2405.15580","title":"Open-Vocabulary SAM3D: Towards Training-free Open-Vocabulary 3D Scene Understanding","created":"2024-05-24","cited_by_count":7,"area":null},{"id":"2508.20063","title":"OpenM3D: Open Vocabulary Multi-view Indoor 3D Object Detection without Human Annotations","created":"2025-08-27","cited_by_count":7,"area":null},{"id":"2407.14279","title":"OpenSU3D: Open World 3D Scene Understanding using Foundation Models","created":"2024-07-19","cited_by_count":6,"area":null},{"id":"2407.08965","title":"Lite-SAM Is Actually What You Need for Segment Everything","created":"2024-07-12","cited_by_count":5,"area":null},{"id":"2408.08315","title":"Segment Anything for Videos: A Systematic Survey","created":"2024-07-31","cited_by_count":5,"area":null},{"id":"2408.10652","title":"Vocabulary-Free 3D Instance Segmentation with Vision and Language Assistant","created":"2024-08-20","cited_by_count":5,"area":null},{"id":"2307.12674","title":"Industrial Segment Anything -- a Case Study in Aircraft Manufacturing, Intralogistics, Maintenance, Repair, and Overhaul","created":"2023-07-24","cited_by_count":4,"area":null},{"id":"2402.15321","title":"OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding","created":"2024-02-23","cited_by_count":4,"area":null},{"id":"2409.10350","title":"Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation","created":"2024-09-16","cited_by_count":4,"area":null},{"id":"2411.15193","title":"Gradient-Weighted Feature Back-Projection: A Fast Alternative to Feature Distillation in 3D Gaussian Splatting","created":"2024-11-19","cited_by_count":4,"area":null},{"id":"2412.10972","title":"DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting","created":"2024-12-14","cited_by_count":4,"area":null},{"id":"2503.15897","title":"Learning 3D Scene Analogies with Neural Contextual Scene Maps","created":"2025-03-20","cited_by_count":4,"area":null},{"id":"2506.06822","title":"Hi-LSplat: Hierarchical 3D Language Gaussian Splatting","created":"2025-06-07","cited_by_count":4,"area":null},{"id":"2509.16098","title":"SegDINO3D: 3D Instance Segmentation Empowered by Both Image-Level and Object-Level 2D Features","created":"2025-09-19","cited_by_count":4,"area":null},{"id":"2510.25146","title":"EA3D: Online Open-World 3D Object Extraction from Streaming Videos","created":"2025-10-29","cited_by_count":4,"area":null},{"id":"2511.20253","title":"Zoo3D: Zero-Shot 3D Object Detection at Scene Level","created":"2025-11-25","cited_by_count":4,"area":null},{"id":"2512.01774","title":"Evaluating SAM2 for Video Semantic Segmentation","created":"2025-12-01","cited_by_count":4,"area":null},{"id":"2512.07599","title":"Online Segment Any 3D Thing as Instance Tracking","created":"2025-12-08","cited_by_count":4,"area":null},{"id":"2512.15577","title":"MoonSeg3R: Monocular Online Zero-Shot Segment Anything in 3D with Reconstructive Foundation Priors","created":"2025-12-17","cited_by_count":4,"area":null},{"id":"2601.07447","title":"PanoSAMic: Panoramic Image Segmentation from SAM Feature Encoding and Dual View Fusion","created":"2026-01-12","cited_by_count":4,"area":null},{"id":"2601.08831","title":"3AM: 3egment Anything with Geometric Consistency in Videos","created":"2026-01-13","cited_by_count":4,"area":null},{"id":"2603.25993","title":"FAST3DIS: Feed-forward Anchored Scene Transformer for 3D Instance Segmentation","created":"2026-03-27","cited_by_count":4,"area":null},{"id":"2603.26541","title":"OVI-MAP:Open-Vocabulary Instance-Semantic Mapping","created":"2026-03-27","cited_by_count":4,"area":null},{"id":"2403.16318","title":"AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans","created":"2024-03-24","cited_by_count":3,"area":null},{"id":"2408.08591","title":"Zero-Shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation","created":"2024-08-16","cited_by_count":3,"area":null},{"id":"2411.03819","title":"SA3DIP: Segment Any 3D Instance with Potential 3D Priors","created":"2024-11-06","cited_by_count":3,"area":null},{"id":"2502.00960","title":"SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation","created":"2025-02-02","cited_by_count":3,"area":null},{"id":"2503.00807","title":"GenAnalysis: Joint Shape Analysis by Learning Man-Made Shape Generators with Deformation Regularizations","created":"2025-03-02","cited_by_count":3,"area":null},{"id":"2503.12094","title":"E-SAM: Training-Free Segment Every Entity Model","created":"2025-03-15","cited_by_count":3,"area":null},{"id":"2504.19266","title":"OpenFusion++: An Open-vocabulary Real-time Scene Understanding System","created":"2025-04-27","cited_by_count":3,"area":null},{"id":"2506.11585","title":"OV-MAP: Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots","created":"2025-06-13","cited_by_count":3,"area":null},{"id":"2506.15610","title":"BoxFusion: Reconstruction-Free Open-Vocabulary 3D Object Detection via Real-Time Multi-View Box Fusion","created":"2025-06-18","cited_by_count":3,"area":null},{"id":"2506.21547","title":"SAM4D: Segment Anything in Camera and LiDAR Streams","created":"2025-06-26","cited_by_count":3,"area":null},{"id":"2512.03370","title":"ShelfGaussian: Shelf-Supervised Open-Vocabulary Gaussian-based 3D Scene Understanding","created":"2025-12-03","cited_by_count":3,"area":null},{"id":"2404.12861","title":"Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation","created":"2024-04-19","cited_by_count":2,"area":null},{"id":"2408.04760","title":"Embodied Uncertainty-Aware Object Segmentation","created":"2024-08-08","cited_by_count":2,"area":null},{"id":"2410.08926","title":"Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images","created":"2024-10-11","cited_by_count":2,"area":null},{"id":"2504.03129","title":"GraphSeg: Segmented 3D Representations via Graph Edge Addition and Contraction","created":"2025-04-04","cited_by_count":2,"area":null},{"id":"2508.11431","title":"Remove360: Benchmarking Residuals After Object Removal in 3D Gaussian Splatting","created":"2025-08-15","cited_by_count":2,"area":null},{"id":"2509.05144","title":"SGS-3D: High-Fidelity 3D Instance Segmentation via Reliable Semantic Mask Splitting and Growing","created":"2025-09-05","cited_by_count":2,"area":null},{"id":"2510.17686","title":"Towards 3D Objectness Learning in an Open World","created":"2025-10-20","cited_by_count":2,"area":null},{"id":"2512.00385","title":"EZ-SP: Fast and Lightweight Superpoint-Based 3D Segmentation","created":"2025-11-29","cited_by_count":2,"area":null},{"id":"2606.05975","title":"T-FunS3D: Task-Driven Hierarchical Open-Vocabulary 3D Functionality Segmentation","created":"2026-06-04","cited_by_count":2,"area":null},{"id":"2608.30821","title":"Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling","created":"2026-08-31","cited_by_count":2,"area":null},{"id":"2403.00566","title":"Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw)","created":"2024-03-01","cited_by_count":1,"area":null},{"id":"2410.01618","title":"SGBA: Semantic Gaussian Mixture Model-Based LiDAR Bundle Adjustment","created":"2024-10-02","cited_by_count":1,"area":null},{"id":"2410.17988","title":"Semantic Segmentation and Scene Reconstruction of RGB-D Image Frames: An End-to-End Modular Pipeline for Robotic Applications","created":"2024-10-23","cited_by_count":1,"area":null},{"id":"2503.17574","title":"Is there anything left? Measuring semantic residuals of objects removed from 3D Gaussian Splatting","created":"2025-03-21","cited_by_count":1,"area":null},{"id":"2505.00378","title":"Cues3D: Unleashing the Power of Sole NeRF for Consistent and Unique Instances in Open-Vocabulary 3D Panoptic Segmentation","created":"2025-05-01","cited_by_count":1,"area":null},{"id":"2505.03300","title":"3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation","created":"2025-05-06","cited_by_count":1,"area":null},{"id":"2506.19658","title":"SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2508.18314","title":"SERES: Semantic-aware neural reconstruction from sparse views","created":"2025-08-23","cited_by_count":1,"area":null},{"id":"2512.06882","title":"Hierarchical Image-Guided 3D Point Cloud Segmentation in Industrial Scenes via Multi-View Bayesian Fusion","created":"2025-12-07","cited_by_count":1,"area":null},{"id":"2602.00637","title":"VIZOR: Viewpoint-Invariant Zero-Shot Scene Graph Generation for 3D Scene Reasoning","created":"2026-01-31","cited_by_count":1,"area":null}],"next_cursor":"100"}