{"total":169,"rows":[{"id":"2405.17398","title":"Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability","created":"2024-05-27","cited_by_count":347,"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":"2406.08481","title":"Enhancing End-to-End Autonomous Driving with Latent World Model","created":"2024-06-12","cited_by_count":166,"area":"wm"},{"id":"2411.14499","title":"Understanding World or Predicting Future? A Comprehensive Survey of World Models","created":"2024-11-21","cited_by_count":166,"area":"wm"},{"id":"2504.01941","title":"End-to-End Driving with Online Trajectory Evaluation via BEV World Model","created":"2025-04-02","cited_by_count":151,"area":"wm"},{"id":"2403.09630","title":"GenAD: Generalized Predictive Model for Autonomous Driving","created":"2024-03-14","cited_by_count":150,"area":"wm"},{"id":"2410.13571","title":"DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation","created":"2024-10-17","cited_by_count":123,"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":"2405.03520","title":"Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond","created":"2024-05-06","cited_by_count":111,"area":"wm"},{"id":"2412.18607","title":"DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers","created":"2024-12-24","cited_by_count":96,"area":"wm"},{"id":"2507.00603","title":"World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model","created":"2025-07-01","cited_by_count":95,"area":"wm"},{"id":"2401.09985","title":"WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens","created":"2024-01-18","cited_by_count":89,"area":"wm"},{"id":"2411.19548","title":"ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration","created":"2024-11-29","cited_by_count":89,"area":"wm"},{"id":"2406.09455","title":"Pandora: Towards General World Model with Natural Language Actions and Video States","created":"2024-06-12","cited_by_count":86,"area":"wm"},{"id":"2409.03272","title":"OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving","created":"2024-09-05","cited_by_count":83,"area":"wm"},{"id":"2403.02622","title":"World Models for Autonomous Driving: An Initial Survey","created":"2024-03-05","cited_by_count":80,"area":"wm"},{"id":"2412.11198","title":"GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control","created":"2024-12-15","cited_by_count":78,"area":"wm"},{"id":"2505.14357","title":"Vid2World: Crafting Video Diffusion Models to Interactive World Models","created":"2025-05-20","cited_by_count":76,"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":"2408.14197","title":"Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving","created":"2024-08-26","cited_by_count":69,"area":"wm"},{"id":"2510.16732","title":"A Comprehensive Survey on World Models for Embodied AI","created":"2025-10-19","cited_by_count":68,"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":"2412.19505","title":"DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT","created":"2024-12-27","cited_by_count":66,"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":"2412.03934","title":"InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models","created":"2024-12-05","cited_by_count":56,"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":"2507.00917","title":"A Survey: Learning Embodied Intelligence from Physical Simulators and World Models","created":"2025-07-01","cited_by_count":51,"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":"2605.00080","title":"World Model for Robot Learning: A Comprehensive Survey","created":"2026-04-30","cited_by_count":46,"area":"wm"},{"id":"2506.23468","title":"NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments","created":"2025-06-30","cited_by_count":45,"area":"wm"},{"id":"2506.09981","title":"ReSim: Reliable World Simulation for Autonomous Driving","created":"2025-06-11","cited_by_count":44,"area":"wm"},{"id":"2506.23135","title":"RoboScape: Physics-informed Embodied World Model","created":"2025-06-29","cited_by_count":40,"area":"wm"},{"id":"2509.02722","title":"Planning with Reasoning using Vision Language World Model","created":"2025-09-02","cited_by_count":36,"area":"wm"},{"id":"2511.09057","title":"PAN: A World Model for General, Actionable, and Long-Horizon World Simulation","created":"2025-11-12","cited_by_count":36,"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":"2509.19080","title":"World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation","created":"2025-09-23","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":"2510.19654","title":"From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction","created":"2025-10-22","cited_by_count":33,"area":"wm"},{"id":"2603.24581","title":"Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving","created":"2026-03-25","cited_by_count":33,"area":"wm"},{"id":"2412.03566","title":"FreeSim: Toward Free-viewpoint Camera Simulation in Driving Scenes","created":"2024-12-04","cited_by_count":30,"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":"2410.15461","title":"EVA: An Embodied World Model for Future Video Anticipation","created":"2024-10-20","cited_by_count":28,"area":"wm"},{"id":"2410.10738","title":"DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model","created":"2024-10-14","cited_by_count":25,"area":"wm"},{"id":"2407.11965","title":"UrbanWorld: An Urban World Model for 3D City Generation","created":"2024-07-16","cited_by_count":24,"area":"wm"},{"id":"2506.21876","title":"Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation","created":"2025-06-27","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":"2604.04198","title":"DriveVA: Video Action Models are Zero-Shot Drivers","created":"2026-04-05","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":"2503.13587","title":"UniFuture: A 4D Driving World Model for Future Generation and Perception","created":"2025-03-17","cited_by_count":22,"area":"wm"},{"id":"2503.16806","title":"DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation","created":"2025-03-21","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":"2412.01522","title":"InfinityDrive: Breaking Time Limits in Driving World Models","created":"2024-12-02","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":"2601.01528","title":"DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving","created":"2026-01-04","cited_by_count":21,"area":"wm"},{"id":"2506.04363","title":"WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning","created":"2025-06-04","cited_by_count":20,"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":"2601.04453","title":"UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving","created":"2026-01-07","cited_by_count":20,"area":"wm"},{"id":"2412.13772","title":"An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training","created":"2024-12-18","cited_by_count":18,"area":"wm"},{"id":"2503.15875","title":"MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving","created":"2025-03-20","cited_by_count":18,"area":"wm"},{"id":"2410.10394","title":"PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation","created":"2024-10-14","cited_by_count":17,"area":"wm"},{"id":"2506.03079","title":"ORV: 4D Occupancy-centric Robot Video Generation","created":"2025-06-03","cited_by_count":17,"area":"wm"},{"id":"2507.13162","title":"Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models","created":"2025-07-17","cited_by_count":17,"area":"wm"},{"id":"2605.09701","title":"DriveFuture: Future-Aware Latent World Models for Autonomous Driving","created":"2026-05-10","cited_by_count":17,"area":"wm"},{"id":"2410.17491","title":"X-MOBILITY: End-To-End Generalizable Navigation via World Modeling","created":"2024-10-23","cited_by_count":16,"area":"wm"},{"id":"2504.18576","title":"DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment","created":"2025-04-22","cited_by_count":16,"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":"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":"2506.13260","title":"COME: Adding Scene-Centric Forecasting Control to Occupancy World Model","created":"2025-06-16","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":"2412.08410","title":"Physical Informed Driving World Model","created":"2024-12-11","cited_by_count":13,"area":"wm"},{"id":"2602.18739","title":"When World Models Dream Wrong: Physical-Conditioned Adversarial Attacks against World Models","created":"2026-02-21","cited_by_count":13,"area":"wm"},{"id":"2603.14948","title":"Bridging Scene Generation and Planning: Driving with World Model via Unifying Vision and Motion Representation","created":"2026-03-16","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":"2505.18650","title":"ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos","created":"2025-05-24","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":"2603.03195","title":"Chain of World: World Model Thinking in Latent Motion","created":"2026-03-03","cited_by_count":11,"area":"wm"},{"id":"2604.09059","title":"Learning Vision-Language-Action World Models for Autonomous Driving","created":"2026-04-10","cited_by_count":11,"area":"wm"},{"id":"2606.15869","title":"Metis: A Generalizable and Efficient World-Action Model for Autonomous Driving and Urban Navigation","created":"2026-06-14","cited_by_count":11,"area":"wm"},{"id":"2506.23434","title":"Towards foundational LiDAR world models with efficient latent flow matching","created":"2025-06-30","cited_by_count":10,"area":"wm"},{"id":"2411.07690","title":"World Models: The Safety Perspective","created":"2024-11-12","cited_by_count":9,"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":"2409.15730","title":"Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving","created":"2024-09-24","cited_by_count":8,"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":"2507.12762","title":"World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving","created":"2025-07-17","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":"2502.05857","title":"EgoAgent: A Joint Predictive Agent Model in Egocentric Worlds","created":"2025-02-09","cited_by_count":7,"area":"wm"},{"id":"2512.11226","title":"FutureX: Enhance End-to-End Autonomous Driving via Latent Chain-of-Thought World Model","created":"2025-12-12","cited_by_count":7,"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":"2603.25741","title":"Vega: Learning to Drive with Natural Language Instructions","created":"2026-03-26","cited_by_count":6,"area":"wm"},{"id":"2606.16274","title":"GraphWorld: Long-Horizon Planning with World Models for End-to-End Autonomous Driving","created":"2026-06-15","cited_by_count":6,"area":"wm"},{"id":"2503.07338","title":"Delta-Triplane Transformers as Occupancy World Models","created":"2025-03-10","cited_by_count":5,"area":"wm"},{"id":"2503.09215","title":"Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space","created":"2025-03-12","cited_by_count":5,"area":"wm"}],"next_cursor":"100"}