{"total":89,"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":"2311.16038","title":"OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving","created":"2023-11-27","cited_by_count":233,"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":"2403.09630","title":"GenAD: Generalized Predictive Model for Autonomous Driving","created":"2024-03-14","cited_by_count":150,"area":"wm"},{"id":"2506.24113","title":"Epona: Autoregressive Diffusion World Model for Autonomous Driving","created":"2025-06-30","cited_by_count":117,"area":"wm"},{"id":"2405.14475","title":"MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes","created":"2024-05-23","cited_by_count":71,"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":"2511.19861","title":"GigaWorld-0: World Models as Data Engine to Empower Embodied AI","created":"2025-11-25","cited_by_count":62,"area":"wm"},{"id":"2501.11260","title":"A Survey of World Models for Autonomous Driving","created":"2025-01-20","cited_by_count":60,"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":"2412.09627","title":"Doe-1: Closed-Loop Autonomous Driving with Large World Model","created":"2024-12-12","cited_by_count":51,"area":"wm"},{"id":"2412.13188","title":"StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models","created":"2024-12-17","cited_by_count":49,"area":"wm"},{"id":"2512.23421","title":"DriveLaW:Unifying Planning and Video Generation in a Latent Driving World","created":"2025-12-29","cited_by_count":47,"area":"wm"},{"id":"2510.19430","title":"GigaBrain-0: A World Model-Powered Vision-Language-Action Model","created":"2025-10-22","cited_by_count":44,"area":"wm"},{"id":"2407.13759","title":"Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion","created":"2024-07-18","cited_by_count":39,"area":"wm"},{"id":"2501.00601","title":"DreamDrive: Generative 4D Scene Modeling from Street View Images","created":"2024-12-31","cited_by_count":35,"area":"wm"},{"id":"2510.18313","title":"OmniNWM: Omniscient Driving Navigation World Models","created":"2025-10-21","cited_by_count":33,"area":"wm"},{"id":"2502.07309","title":"Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving","created":"2025-02-11","cited_by_count":29,"area":"wm"},{"id":"2502.10498","title":"The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey","created":"2025-02-14","cited_by_count":29,"area":"wm"},{"id":"2502.11663","title":"MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction","created":"2025-02-17","cited_by_count":29,"area":"wm"},{"id":"2507.05198","title":"EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling","created":"2025-07-07","cited_by_count":29,"area":"wm"},{"id":"2603.07145","title":"LiveWorld: Simulating Out-of-Sight Dynamics in Generative Video World Models","created":"2026-03-07","cited_by_count":28,"area":"wm"},{"id":"2602.12099","title":"GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning","created":"2026-02-12","cited_by_count":24,"area":"wm"},{"id":"2512.23180","title":"GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation","created":"2025-12-29","cited_by_count":23,"area":"wm"},{"id":"2409.05463","title":"DriveScape: Towards High-Resolution Controllable Multi-View Driving Video Generation","created":"2024-09-09","cited_by_count":22,"area":"wm"},{"id":"2407.05679","title":"BEVWorld: A Multimodal World Simulator for Autonomous Driving via Scene-Level BEV Latents","created":"2024-07-08","cited_by_count":21,"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":"2510.01183","title":"EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory","created":"2025-10-01","cited_by_count":20,"area":"wm"},{"id":"2412.05280","title":"Stag-1: Towards Realistic 4D Driving Simulation with Video Generation Model","created":"2024-12-06","cited_by_count":18,"area":"wm"},{"id":"2506.03079","title":"ORV: 4D Occupancy-centric Robot Video Generation","created":"2025-06-03","cited_by_count":17,"area":"wm"},{"id":"2508.03692","title":"LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences","created":"2025-08-05","cited_by_count":17,"area":"wm"},{"id":"2511.08585","title":"Simulating the Visual World with Artificial Intelligence: A Roadmap","created":"2025-11-11","cited_by_count":15,"area":"wm"},{"id":"2603.24587","title":"DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving","created":"2026-03-25","cited_by_count":15,"area":"wm"},{"id":"2411.01123","title":"X-Drive: Cross-modality consistent multi-sensor data synthesis for driving scenarios","created":"2024-11-02","cited_by_count":14,"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":"2511.20325","title":"AD-R1: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving with Impartial World Models","created":"2025-11-25","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":"2605.10426","title":"CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving","created":"2026-05-11","cited_by_count":12,"area":"wm"},{"id":"2510.17482","title":"SparseWorld: A Flexible, Adaptive, and Efficient 4D Occupancy World Model Powered by Sparse and Dynamic Queries","created":"2025-10-20","cited_by_count":11,"area":"wm"},{"id":"2512.12751","title":"GenieDrive: Towards Physics-Aware Driving World Model with 4D Occupancy Guided Video Generation","created":"2025-12-14","cited_by_count":11,"area":"wm"},{"id":"2505.16902","title":"RealEngine: Simulating Autonomous Driving in Realistic Context","created":"2025-05-22","cited_by_count":10,"area":"wm"},{"id":"2506.01546","title":"LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model","created":"2025-06-02","cited_by_count":9,"area":"wm"},{"id":"2509.03887","title":"OccTENS: 3D Occupancy World Model via Temporal Next-Scale Prediction","created":"2025-09-04","cited_by_count":9,"area":"wm"},{"id":"2602.02002","title":"UniDriveDreamer: A Single-Stage Multimodal World Model for Autonomous Driving","created":"2026-02-02","cited_by_count":9,"area":"wm"},{"id":"2607.05133","title":"UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation","created":"2026-07-06","cited_by_count":9,"area":"wm"},{"id":"2503.10604","title":"MuDG: Taming Multi-modal Diffusion with Gaussian Splatting for Urban Scene Reconstruction","created":"2025-03-13","cited_by_count":8,"area":"wm"},{"id":"2507.09144","title":"$I^{2}$-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting","created":"2025-07-12","cited_by_count":8,"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":"2606.01164","title":"Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends","created":"2026-05-31","cited_by_count":8,"area":"wm"},{"id":"2409.06189","title":"MyGo: Consistent and Controllable Multi-View Driving Video Generation with Camera Control","created":"2024-09-10","cited_by_count":6,"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":"2510.05865","title":"The Safety Challenge of World Models for Embodied AI Agents: A Review","created":"2025-10-07","cited_by_count":6,"area":"wm"},{"id":"2605.10858","title":"Is Your Driving World Model an All-Around Player?","created":"2026-05-11","cited_by_count":6,"area":"wm"},{"id":"2505.09074","title":"Trends in Motion Prediction Toward Deployable and Generalizable Autonomy: A Revisit and Perspectives","created":"2025-05-14","cited_by_count":5,"area":"wm"},{"id":"2506.08006","title":"Dreamland: Controllable World Creation with Simulator and Generative Models","created":"2025-06-09","cited_by_count":5,"area":"wm"},{"id":"2506.13138","title":"STAGE: A Stream-Centric Generative World Model for Long-Horizon Driving-Scene Simulation","created":"2025-06-16","cited_by_count":5,"area":"wm"},{"id":"2605.18137","title":"Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving","created":"2026-05-18","cited_by_count":5,"area":"wm"},{"id":"2606.15341","title":"CausalDrive: Real-time Causal World Models for Autonomous Driving","created":"2026-06-13","cited_by_count":5,"area":"wm"},{"id":"2411.10171","title":"Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies","created":"2024-11-15","cited_by_count":4,"area":"wm"},{"id":"2505.01729","title":"PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth","created":"2025-05-03","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":"2606.00133","title":"World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications","created":"2026-05-28","cited_by_count":3,"area":"wm"},{"id":"2503.20654","title":"AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reports","created":"2025-03-26","cited_by_count":2,"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":"2509.11959","title":"Learning to Generate 4D LiDAR Sequences","created":"2025-09-15","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":"2603.24835","title":"DCARL: A Divide-and-Conquer Framework for Autoregressive Long-Trajectory Video Generation","created":"2026-03-25","cited_by_count":2,"area":"wm"},{"id":"2604.08719","title":"LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving","created":"2026-04-09","cited_by_count":2,"area":"wm"},{"id":"2606.17536","title":"OmniDrive: An LLM-Choreographed Multi-Agent World Model with Unified Latent Co-Compression for Multi-View Driving Video Generation","created":"2026-06-16","cited_by_count":2,"area":"wm"},{"id":"2606.27504","title":"ReWorld: Representation Learning for World Action Models","created":"2026-06-25","cited_by_count":2,"area":"wm"},{"id":"2607.09655","title":"OpenLongTail: Generative Scaling of Long-Tail Driving Data","created":"2026-07-10","cited_by_count":2,"area":"wm"},{"id":"2312.00651","title":"TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models","created":"2023-12-01","cited_by_count":1,"area":"wm"},{"id":"2510.07944","title":"CVD-STORM: Cross-View Video Diffusion with Spatial-Temporal Reconstruction Model for Autonomous Driving","created":"2025-10-09","cited_by_count":1,"area":"wm"},{"id":"2512.08478","title":"Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform","created":"2025-12-09","cited_by_count":1,"area":"wm"},{"id":"2607.06516","title":"Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation","created":"2026-07-07","cited_by_count":1,"area":"wm"},{"id":"2608.04412","title":"muSync-GS: Physics-Synchronized Driving Video Synthesis for Weather and Geometric Road Hazards","created":"2026-08-05","cited_by_count":1,"area":"wm"},{"id":"2511.16049","title":"LiSTAR: Ray-Centric World Models for 4D LiDAR Sequences in Autonomous Driving","created":"2025-11-20","cited_by_count":0,"area":"wm"},{"id":"2604.22240","title":"OccDirector: Language-Guided Behavior and Interaction Generation in 4D Occupancy Space","created":"2026-04-24","cited_by_count":0,"area":"wm"},{"id":"2606.28758","title":"X-Mind: Efficient Visual Chain-of-Thought via Predictive World Model for End-to-End Driving","created":"2026-06-27","cited_by_count":0,"area":"wm"},{"id":"2607.09764","title":"OmniSCS: Omni Safety-Critical Scenario Synthesis for Autonomous Driving via a Fully Editable Driving World","created":"2026-07-07","cited_by_count":0,"area":"wm"},{"id":"2608.16234","title":"GaussianDWM++: Language-Grounded 3D Gaussian Driving World Model for Unified Scene Understanding, Editing, and Multi-Modal Generation","created":"2026-08-17","cited_by_count":0,"area":"wm"},{"id":"2609.28931","title":"HelloWorld: Towards Practical Applications of Generative Driving World Models","created":"2026-09-24","cited_by_count":0,"area":"wm"},{"id":"2609.37970","title":"PhysWAM: Physically Consistent World Action Model for Autonomous Driving","created":"2026-09-29","cited_by_count":0,"area":"wm"},{"id":"2610.02726","title":"SymRegFlow: Symmetry-Regularized Flow Matching for Video World Models","created":"2026-10-02","cited_by_count":0,"area":"wm"}],"next_cursor":null}