{"total":24,"rows":[{"id":"2311.17918","title":"Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving","created":"2023-11-29","cited_by_count":319,"area":"wm"},{"id":"2403.06845","title":"DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation","created":"2024-03-11","cited_by_count":191,"area":"wm"},{"id":"2503.20523","title":"GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving","created":"2025-03-26","cited_by_count":185,"area":"wm"},{"id":"2504.04348","title":"OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning","created":"2025-04-06","cited_by_count":143,"area":"wm"},{"id":"2311.13549","title":"ADriver-I: A General World Model for Autonomous Driving","created":"2023-11-22","cited_by_count":104,"area":"wm"},{"id":"2412.10373","title":"GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction","created":"2024-12-13","cited_by_count":67,"area":"wm"},{"id":"2509.07996","title":"3D and 4D World Modeling: A Survey","created":"2025-09-04","cited_by_count":67,"area":"wm"},{"id":"2501.14729","title":"HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation","created":"2025-01-24","cited_by_count":56,"area":"wm"},{"id":"2406.01349","title":"Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation","created":"2024-06-03","cited_by_count":55,"area":"wm"},{"id":"2409.18341","title":"Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving","created":"2024-09-26","cited_by_count":46,"area":"wm"},{"id":"2505.19239","title":"DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving","created":"2025-05-25","cited_by_count":21,"area":"wm"},{"id":"2602.10884","title":"ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving","created":"2026-02-11","cited_by_count":15,"area":"wm"},{"id":"2510.19195","title":"Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks","created":"2025-10-22","cited_by_count":14,"area":"wm"},{"id":"2412.08410","title":"Physical Informed Driving World Model","created":"2024-12-11","cited_by_count":13,"area":"wm"},{"id":"2602.03242","title":"InstaDrive: Instance-Aware Driving World Models for Realistic and Consistent Video Generation","created":"2026-02-03","cited_by_count":8,"area":"wm"},{"id":"2505.01857","title":"DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic Fusion","created":"2025-05-03","cited_by_count":6,"area":"wm"},{"id":"2511.22039","title":"SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model","created":"2025-11-27","cited_by_count":4,"area":"wm"},{"id":"2602.20685","title":"RAYNOVA: Scale-Temporal Autoregressive World Modeling in Ray Space","created":"2026-02-24","cited_by_count":4,"area":"wm"},{"id":"2504.18448","title":"NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration","created":"2025-04-25","cited_by_count":3,"area":"wm"},{"id":"2604.28196","title":"HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation","created":"2026-04-30","cited_by_count":3,"area":"wm"},{"id":"2507.04002","title":"NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World Models","created":"2025-07-05","cited_by_count":2,"area":"wm"},{"id":"2602.03213","title":"ConsisDrive: Identity-Preserving Driving World Models for Video Generation by Instance Mask","created":"2026-02-03","cited_by_count":2,"area":"wm"},{"id":"2603.19675","title":"DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving","created":"2026-03-20","cited_by_count":2,"area":"wm"},{"id":"2604.00969","title":"DLWM: Dual Latent World Models enable Holistic Gaussian-centric Pre-training in Autonomous Driving","created":"2026-04-01","cited_by_count":2,"area":"wm"}],"next_cursor":null}