{"total":106,"rows":[{"id":"2408.12528","title":"Show-o: One Single Transformer to Unify Multimodal Understanding and Generation","created":"2024-08-22","cited_by_count":752,"area":null},{"id":"2410.23262","title":"EMMA: End-to-End Multimodal Model for Autonomous Driving","created":"2024-10-30","cited_by_count":231,"area":"driving"},{"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":"2510.12796","title":"DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving","created":"2025-10-14","cited_by_count":134,"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":"2312.17655","title":"Visual Point Cloud Forecasting enables Scalable Autonomous Driving","created":"2023-12-29","cited_by_count":99,"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":"2405.04390","title":"DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving","created":"2024-05-07","cited_by_count":93,"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":"2405.20337","title":"OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving","created":"2024-05-30","cited_by_count":78,"area":"driving"},{"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":"2510.16732","title":"A Comprehensive Survey on World Models for Embodied AI","created":"2025-10-19","cited_by_count":68,"area":"wm"},{"id":"2509.07996","title":"3D and 4D World Modeling: A Survey","created":"2025-09-04","cited_by_count":67,"area":"wm"},{"id":"2410.10429","title":"DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model","created":"2024-10-14","cited_by_count":61,"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":"2404.02903","title":"LidarDM: Generative LiDAR Simulation in a Generated World","created":"2024-04-03","cited_by_count":54,"area":null},{"id":"2402.01105","title":"A Survey for Foundation Models in Autonomous Driving","created":"2024-02-02","cited_by_count":52,"area":"driving"},{"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":"2506.09981","title":"ReSim: Reliable World Simulation for Autonomous Driving","created":"2025-06-11","cited_by_count":44,"area":"wm"},{"id":"2404.06356","title":"Policy-Guided Diffusion","created":"2024-04-09","cited_by_count":41,"area":"wm"},{"id":"2407.02797","title":"Solving Motion Planning Tasks with a Scalable Generative Model","created":"2024-07-03","cited_by_count":40,"area":null},{"id":"2410.12822","title":"AVID: Adapting Video Diffusion Models to World Models","created":"2024-10-01","cited_by_count":37,"area":"wm"},{"id":"2602.06521","title":"DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving","created":"2026-02-06","cited_by_count":37,"area":"wm"},{"id":"2505.05108","title":"Multi-agent Embodied AI: Advances and Future Directions","created":"2025-05-08","cited_by_count":36,"area":null},{"id":"2312.08533","title":"World Models via Policy-Guided Trajectory Diffusion","created":"2023-12-13","cited_by_count":34,"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":"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":"2503.17076","title":"Halton Scheduler For Masked Generative Image Transformer","created":"2025-03-21","cited_by_count":32,"area":null},{"id":"2402.03570","title":"Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning","created":"2024-02-05","cited_by_count":31,"area":"wm"},{"id":"2312.04316","title":"Towards Knowledge-driven Autonomous Driving","created":"2023-12-07","cited_by_count":29,"area":"driving"},{"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":"2508.11428","title":"ImagiDrive: A Unified Imagination-and-Planning Framework for Autonomous Driving","created":"2025-08-15","cited_by_count":25,"area":"driving"},{"id":"2401.08045","title":"Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities","created":"2024-01-16","cited_by_count":24,"area":"driving"},{"id":"2412.01407","title":"HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving","created":"2024-12-02","cited_by_count":23,"area":"driving"},{"id":"2506.07497","title":"Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency","created":"2025-06-09","cited_by_count":22,"area":"driving"},{"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":"2506.13558","title":"X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability","created":"2025-06-16","cited_by_count":20,"area":"diffusion"},{"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":"2505.22421","title":"GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control","created":"2025-05-28","cited_by_count":19,"area":"wm"},{"id":"2405.06192","title":"Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning","created":"2024-05-10","cited_by_count":18,"area":"offlinerl"},{"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":"2508.03692","title":"LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences","created":"2025-08-05","cited_by_count":17,"area":"wm"},{"id":"2505.15925","title":"VERDI: VLM-Embedded Reasoning for Autonomous Driving","created":"2025-05-21","cited_by_count":16,"area":"lr"},{"id":"2311.12144","title":"Applications of Large Scale Foundation Models for Autonomous Driving","created":"2023-11-20","cited_by_count":14,"area":"driving"},{"id":"2405.07865","title":"AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving","created":"2024-05-13","cited_by_count":14,"area":null},{"id":"2411.02914","title":"Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey","created":"2024-11-05","cited_by_count":14,"area":"wm"},{"id":"2507.12646","title":"Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular Videos","created":"2025-07-16","cited_by_count":14,"area":"diffusion"},{"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":"2502.19805","title":"Implicit Search via Discrete Diffusion: A Study on Chess","created":"2025-02-27","cited_by_count":11,"area":"diffusion"},{"id":"2502.07591","title":"DMWM: Dual-Mind World Model with Long-Term Imagination","created":"2025-02-11","cited_by_count":10,"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":"2509.03887","title":"OccTENS: 3D Occupancy World Model via Temporal Next-Scale Prediction","created":"2025-09-04","cited_by_count":9,"area":"wm"},{"id":"2512.03210","title":"Flux4D: Flow-based Unsupervised 4D Reconstruction","created":"2025-12-02","cited_by_count":9,"area":null},{"id":"2412.00730","title":"SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark","created":"2024-12-01","cited_by_count":8,"area":null},{"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":"2405.02288","title":"Prospective Role of Foundation Models in Advancing Autonomous Vehicles","created":"2023-12-08","cited_by_count":7,"area":null},{"id":"2509.08302","title":"Foundation Models for Autonomous Driving Perception: A Survey Through Core Capabilities","created":"2025-09-10","cited_by_count":6,"area":null},{"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":"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":"2502.06474","title":"UniMoD: Efficient Unified Multimodal Transformers with Mixture-of-Depths","created":"2025-02-10","cited_by_count":4,"area":"inference"},{"id":"2503.08306","title":"Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach","created":"2025-03-11","cited_by_count":4,"area":null},{"id":"2506.01182","title":"Humanoid World Models: Open World Foundation Models for Humanoid Robotics","created":"2025-06-01","cited_by_count":4,"area":"wm"},{"id":"2506.20134","title":"From 2D to 3D Cognition: A Brief Survey of General World Models","created":"2025-06-25","cited_by_count":4,"area":"wm"},{"id":"2512.24385","title":"Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems","created":"2025-12-30","cited_by_count":4,"area":null},{"id":"2604.23010","title":"GenAssets: Generating in-the-wild 3D Assets in Latent Space","created":"2026-04-24","cited_by_count":4,"area":"diffusion"},{"id":"2605.31314","title":"AR Forcing: Towards Long-Horizon Robot Navigation World Model","created":"2026-05-29","cited_by_count":4,"area":"wm"},{"id":"2406.06370","title":"UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving","created":"2024-06-10","cited_by_count":3,"area":"driving"},{"id":"2506.02587","title":"BEVCALIB: LiDAR-Camera Calibration via Geometry-Guided Bird's-Eye View Representations","created":"2025-06-03","cited_by_count":3,"area":null},{"id":"2509.22353","title":"Context and Diversity Matter: The Emergence of In-Context Learning in World Models","created":"2025-09-26","cited_by_count":3,"area":"wm"},{"id":"2510.04978","title":"Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI","created":"2025-10-06","cited_by_count":3,"area":"wm"},{"id":"2510.16729","title":"Vision-Centric 4D Occupancy Forecasting and Planning via Implicit Residual World Models","created":"2025-10-19","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":"2312.11578","title":"Diffusion-Based Particle-DETR for BEV Perception","created":"2023-12-18","cited_by_count":2,"area":null},{"id":"2411.07619","title":"Artificial Intelligence for Biomedical Video Generation","created":"2024-11-12","cited_by_count":2,"area":null},{"id":"2412.03054","title":"TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception","created":"2024-12-04","cited_by_count":2,"area":null},{"id":"2505.23115","title":"Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving","created":"2025-05-29","cited_by_count":2,"area":"diffusion"},{"id":"2510.20726","title":"AutoScape: Geometry-Consistent Long-Horizon Scene Generation","created":"2025-10-23","cited_by_count":2,"area":"diffusion"},{"id":"2511.12304","title":"LiDAR-GS++:Improving LiDAR Gaussian Reconstruction via Diffusion Priors","created":"2025-11-15","cited_by_count":2,"area":"diffusion"},{"id":"2603.16307","title":"NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing","created":"2026-03-17","cited_by_count":2,"area":null},{"id":"2603.28963","title":"AutoWorld: Learning Multi-Agent Traffic Simulation with Self-Supervised World Models","created":"2026-03-30","cited_by_count":2,"area":"wm"},{"id":"2605.24354","title":"SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation","created":"2026-05-23","cited_by_count":2,"area":"wm"},{"id":"2601.06035","title":"Investigating Anthropometric Fidelity in SAM 3D Body","created":"2025-12-02","cited_by_count":1,"area":null},{"id":"2602.23259","title":"Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous Driving","created":"2026-02-26","cited_by_count":1,"area":"wm"},{"id":"2605.07326","title":"GEM: Generating LiDAR World Model via Deformable Mamba","created":"2026-05-08","cited_by_count":1,"area":"wm"},{"id":"2606.18250","title":"Future Dynamic 3D Reconstruction: Toward 3D World Modeling with Disentangled Ego-Motion","created":"2026-06-16","cited_by_count":1,"area":"wm"},{"id":"2406.06239","title":"I-MPN: Inductive Message Passing Network for Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2503.07167","title":"Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2510.24028","title":"OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting","created":"2025-10-28","cited_by_count":0,"area":null},{"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":"2604.12857","title":"Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic","created":"2026-04-14","cited_by_count":0,"area":null},{"id":"2605.08578","title":"Probing the Impact of Scale on Data-Efficient, Generalist Transformer World Models for Atari","created":"2026-05-09","cited_by_count":0,"area":"wm"},{"id":"2605.22456","title":"Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning","created":"2026-05-21","cited_by_count":0,"area":null}],"next_cursor":"100"}