{"total":16,"rows":[{"id":"2311.16038","title":"OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving","created":"2023-11-27","cited_by_count":233,"area":"wm"},{"id":"2303.05367","title":"Rethinking Range View Representation for LiDAR Segmentation","created":"2023-03-09","cited_by_count":128,"area":"wm"},{"id":"2404.00815","title":"Towards Realistic Scene Generation with LiDAR Diffusion Models","created":"2024-03-31","cited_by_count":69,"area":"wm"},{"id":"2410.18084","title":"DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes","created":"2024-10-23","cited_by_count":38,"area":"wm"},{"id":"2311.11762","title":"MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations","created":"2023-11-20","cited_by_count":33,"area":"wm"},{"id":"2505.22643","title":"SPIRAL: Semantic-Aware Progressive LiDAR Scene Generation and Understanding","created":"2025-05-28","cited_by_count":10,"area":"wm"},{"id":"2412.07385","title":"LOGen: Toward Lidar Object Generation by Point Diffusion","created":"2024-12-10","cited_by_count":9,"area":"wm"},{"id":"2512.02982","title":"U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences","created":"2025-12-02","cited_by_count":7,"area":"wm"},{"id":"2503.21449","title":"Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving","created":"2025-03-27","cited_by_count":5,"area":"wm"},{"id":"2508.03690","title":"Veila: Panoramic LiDAR Generation from a Monocular RGB Image","created":"2025-08-05","cited_by_count":5,"area":"wm"},{"id":"2412.00592","title":"LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes","created":"2024-11-30","cited_by_count":4,"area":"wm"},{"id":"2602.19064","title":"L3DR: 3D-aware LiDAR Diffusion and Rectification","created":"2026-02-22","cited_by_count":3,"area":"wm"},{"id":"2506.23606","title":"SG-LDM: Semantic-Guided LiDAR Generation via Latent-Aligned Diffusion","created":"2025-06-30","cited_by_count":2,"area":"wm"},{"id":"2601.07692","title":"R3DPA: Leveraging 3D Representation Alignment and RGB Pretrained Priors for LiDAR Scene Generation","created":"2026-01-12","cited_by_count":2,"area":"wm"},{"id":"2605.13815","title":"OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation","created":"2026-05-13","cited_by_count":2,"area":"wm"},{"id":"2605.07326","title":"GEM: Generating LiDAR World Model via Deformable Mamba","created":"2026-05-08","cited_by_count":1,"area":"wm"}],"next_cursor":null}