{"total":388,"rows":[{"id":"2312.10035","title":"Point Transformer V3: Simpler, Faster, Stronger","created":"2023-12-15","cited_by_count":589,"area":null},{"id":"2407.06886","title":"Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI","created":"2024-07-09","cited_by_count":179,"area":null},{"id":"2402.10739","title":"PointMamba: A Simple State Space Model for Point Cloud Analysis","created":"2024-02-16","cited_by_count":167,"area":"ssm"},{"id":"2306.03908","title":"SAM3D: Segment Anything in 3D Scenes","created":"2023-06-06","cited_by_count":157,"area":null},{"id":"2304.09854","title":"Transformer-Based Visual Segmentation: A Survey","created":"2023-04-19","cited_by_count":124,"area":null},{"id":"2304.06906","title":"Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding","created":"2023-04-14","cited_by_count":113,"area":null},{"id":"2503.16429","title":"Sonata: Self-Supervised Learning of Reliable Point Representations","created":"2025-03-20","cited_by_count":110,"area":null},{"id":"2305.03045","title":"OctFormer: Octree-based Transformers for 3D Point Clouds","created":"2023-05-04","cited_by_count":109,"area":null},{"id":"2311.14405","title":"OneFormer3D: One Transformer for Unified Point Cloud Segmentation","created":"2023-11-24","cited_by_count":95,"area":null},{"id":"2308.09718","title":"Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training","created":"2023-08-18","cited_by_count":86,"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":"2301.08739","title":"FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer","created":"2023-01-20","cited_by_count":73,"area":null},{"id":"2310.08370","title":"UniPAD: A Universal Pre-training Paradigm for Autonomous Driving","created":"2023-10-12","cited_by_count":73,"area":null},{"id":"2403.06467","title":"Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy","created":"2024-03-11","cited_by_count":73,"area":"ssm"},{"id":"2403.00762","title":"Point Cloud Mamba: Point Cloud Learning via State Space Model","created":"2024-03-01","cited_by_count":66,"area":"ssm"},{"id":"2506.07491","title":"SpatialLM: Training Large Language Models for Structured Indoor Modeling","created":"2025-06-09","cited_by_count":65,"area":null},{"id":"2212.03010","title":"GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds","created":"2022-12-06","cited_by_count":57,"area":null},{"id":"2404.14966","title":"Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model","created":"2024-04-23","cited_by_count":57,"area":"ssm"},{"id":"2303.14191","title":"Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning","created":"2023-03-24","cited_by_count":56,"area":null},{"id":"2310.08586","title":"PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm","created":"2023-10-12","cited_by_count":56,"area":null},{"id":"2306.03899","title":"Towards Label-free Scene Understanding by Vision Foundation Models","created":"2023-06-06","cited_by_count":54,"area":"mllm"},{"id":"2503.18052","title":"SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining","created":"2025-03-23","cited_by_count":52,"area":"mllm"},{"id":"2312.04484","title":"FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation","created":"2023-12-07","cited_by_count":50,"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":"2309.01692","title":"Mask-Attention-Free Transformer for 3D Instance Segmentation","created":"2023-09-04","cited_by_count":46,"area":null},{"id":"2411.14740","title":"TEXGen: a Generative Diffusion Model for Mesh Textures","created":"2024-11-22","cited_by_count":46,"area":"diffusion"},{"id":"2510.23607","title":"Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations","created":"2025-10-27","cited_by_count":45,"area":null},{"id":"2311.05709","title":"OmniVec: Learning robust representations with cross modal sharing","created":"2023-11-07","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":"2410.08114","title":"Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning","created":"2024-10-10","cited_by_count":43,"area":null},{"id":"2407.13761","title":"SegPoint: Segment Any Point Cloud via Large Language Model","created":"2024-07-18","cited_by_count":35,"area":null},{"id":"2411.13550","title":"Find Any Part in 3D","created":"2024-11-20","cited_by_count":32,"area":null},{"id":"2507.13097","title":"GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training","created":"2025-07-17","cited_by_count":32,"area":null},{"id":"2503.18944","title":"DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation","created":"2025-03-24","cited_by_count":31,"area":null},{"id":"2303.15724","title":"Scalable, Detailed and Mask-Free Universal Photometric Stereo","created":"2023-03-28","cited_by_count":30,"area":null},{"id":"2405.17427","title":"Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model","created":"2024-05-27","cited_by_count":28,"area":"lr"},{"id":"2410.13607","title":"DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering","created":"2024-10-17","cited_by_count":28,"area":null},{"id":"2402.18490","title":"TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding","created":"2024-02-28","cited_by_count":27,"area":null},{"id":"2507.22412","title":"UAVScenes: A Multi-Modal Dataset for UAVs","created":"2025-07-30","cited_by_count":27,"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":"2307.14971","title":"Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models","created":"2023-07-27","cited_by_count":25,"area":null},{"id":"2401.02416","title":"ODIN: A Single Model for 2D and 3D Segmentation","created":"2024-01-04","cited_by_count":25,"area":null},{"id":"2405.01538","title":"Multi-Space Alignments Towards Universal LiDAR Segmentation","created":"2024-05-02","cited_by_count":25,"area":null},{"id":"2411.17423","title":"DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters","created":"2024-11-26","cited_by_count":24,"area":null},{"id":"2307.14605","title":"Clustering based Point Cloud Representation Learning for 3D Analysis","created":"2023-07-27","cited_by_count":23,"area":null},{"id":"2404.07989","title":"Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding","created":"2024-04-11","cited_by_count":23,"area":null},{"id":"2408.05020","title":"RadarPillars: Efficient Object Detection from 4D Radar Point Clouds","created":"2024-08-09","cited_by_count":23,"area":null},{"id":"2411.16308","title":"An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models","created":"2024-11-25","cited_by_count":23,"area":"diffusion"},{"id":"2405.15214","title":"PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning","created":"2024-05-24","cited_by_count":21,"area":null},{"id":"2408.10906","title":"ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining","created":"2024-08-20","cited_by_count":21,"area":null},{"id":"2603.03283","title":"Utonia: Toward One Encoder for All Point Clouds","created":"2026-03-03","cited_by_count":21,"area":null},{"id":"2511.20343","title":"AMB3R: Accurate Feed-forward Metric-scale 3D Reconstruction with Backend","created":"2025-11-25","cited_by_count":20,"area":null},{"id":"2308.03177","title":"Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement","created":"2023-08-06","cited_by_count":19,"area":null},{"id":"2503.11999","title":"Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation","created":"2025-03-15","cited_by_count":19,"area":"diffusion"},{"id":"2510.13800","title":"Reasoning in Space via Grounding in the World","created":"2025-10-15","cited_by_count":19,"area":"lr"},{"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":"2405.13178","title":"One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation","created":"2024-05-21","cited_by_count":18,"area":"offlinerl"},{"id":"2512.13689","title":"LitePT: Lighter Yet Stronger Point Transformer","created":"2025-12-15","cited_by_count":17,"area":null},{"id":"2311.06018","title":"U3DS$^3$: Unsupervised 3D Semantic Scene Segmentation","created":"2023-11-10","cited_by_count":16,"area":null},{"id":"2312.11112","title":"ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding","created":"2023-12-18","cited_by_count":16,"area":null},{"id":"2405.13194","title":"KPConvX: Modernizing Kernel Point Convolution with Kernel Attention","created":"2024-05-21","cited_by_count":16,"area":null},{"id":"2411.06390","title":"SplatFormer: Point Transformer for Robust 3D Gaussian Splatting","created":"2024-11-10","cited_by_count":16,"area":null},{"id":"2403.15173","title":"LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels","created":"2024-03-22","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":"2407.10159","title":"RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation","created":"2024-07-14","cited_by_count":15,"area":null},{"id":"2506.08710","title":"SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting","created":"2025-06-10","cited_by_count":15,"area":null},{"id":"2305.19623","title":"Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast","created":"2023-05-31","cited_by_count":14,"area":null},{"id":"2401.06704","title":"Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering","created":"2024-01-12","cited_by_count":14,"area":null},{"id":"2507.13364","title":"OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning","created":"2025-07-06","cited_by_count":14,"area":null},{"id":"2304.11705","title":"Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation","created":"2023-04-23","cited_by_count":13,"area":null},{"id":"2305.15832","title":"All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation","created":"2023-05-25","cited_by_count":13,"area":null},{"id":"2312.02244","title":"Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding","created":"2023-12-04","cited_by_count":13,"area":"mllm"},{"id":"2407.11569","title":"SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds","created":"2024-07-16","cited_by_count":13,"area":null},{"id":"2506.09784","title":"Accurate and efficient zero-shot 6D pose estimation with frozen foundation models","created":"2025-06-11","cited_by_count":13,"area":null},{"id":"2307.10316","title":"CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation","created":"2023-07-19","cited_by_count":12,"area":null},{"id":"2308.16532","title":"Decoupled Local Aggregation for Point Cloud Learning","created":"2023-08-31","cited_by_count":12,"area":null},{"id":"2309.11222","title":"Generalized Few-Shot Point Cloud Segmentation Via Geometric Words","created":"2023-09-20","cited_by_count":12,"area":null},{"id":"2311.11971","title":"LiDAR-HMR: 3D Human Mesh Recovery from LiDAR","created":"2023-11-20","cited_by_count":12,"area":null},{"id":"2405.17149","title":"LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling","created":"2024-05-27","cited_by_count":12,"area":"ssm"},{"id":"2212.02011","title":"PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning","created":"2022-12-05","cited_by_count":11,"area":null},{"id":"2403.17010","title":"Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding","created":"2024-03-25","cited_by_count":11,"area":null},{"id":"2404.15010","title":"X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition","created":"2024-04-23","cited_by_count":11,"area":null},{"id":"2404.10699","title":"ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation","created":"2024-04-16","cited_by_count":10,"area":null},{"id":"2503.04953","title":"Spectral Informed Mamba for Robust Point Cloud Processing","created":"2025-03-06","cited_by_count":10,"area":"ssm"},{"id":"2512.17817","title":"Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding","created":"2025-12-19","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":"2211.06841","title":"Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning","created":"2022-11-13","cited_by_count":9,"area":null},{"id":"2312.03026","title":"Uni3DL: Unified Model for 3D and Language Understanding","created":"2023-12-05","cited_by_count":9,"area":null},{"id":"2403.14628","title":"Zero-Shot Multi-Object Scene Completion","created":"2024-03-21","cited_by_count":9,"area":null},{"id":"2404.12798","title":"A Point-Based Approach to Efficient LiDAR Multi-Task Perception","created":"2024-04-19","cited_by_count":9,"area":null},{"id":"2503.03299","title":"Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters","created":"2025-03-05","cited_by_count":9,"area":null},{"id":"2503.10624","title":"ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness","created":"2025-03-13","cited_by_count":9,"area":null},{"id":"2504.13112","title":"Hadamard product in deep learning: Introduction, Advances and Challenges","created":"2025-04-17","cited_by_count":9,"area":null},{"id":"2505.20941","title":"PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter","created":"2025-05-27","cited_by_count":9,"area":"ssm"},{"id":"2506.17290","title":"SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation","created":"2025-06-16","cited_by_count":9,"area":"distill"},{"id":"2506.18882","title":"Light of Normals: Unified Feature Representation for Universal Photometric Stereo","created":"2025-06-23","cited_by_count":9,"area":null},{"id":"2510.05613","title":"PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction","created":"2025-10-07","cited_by_count":9,"area":null},{"id":"2502.02558","title":"Particle Trajectory Representation Learning with Masked Point Modeling","created":"2025-02-04","cited_by_count":8,"area":null},{"id":"2502.03901","title":"LeAP: Consistent multi-domain 3D labeling using Foundation Models","created":"2025-02-06","cited_by_count":8,"area":null}],"next_cursor":"100"}