{"total":71,"rows":[{"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":"2411.13807","title":"MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control","created":"2024-11-21","cited_by_count":92,"area":"diffusion"},{"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":"2506.09042","title":"Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models","created":"2025-06-10","cited_by_count":84,"area":"driving"},{"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":"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":"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":"2412.13188","title":"StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models","created":"2024-12-17","cited_by_count":49,"area":"wm"},{"id":"2409.18042","title":"EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions","created":"2024-09-26","cited_by_count":45,"area":null},{"id":"2410.11795","title":"Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices","created":"2024-10-15","cited_by_count":41,"area":"diffusion"},{"id":"2503.15208","title":"DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation","created":"2025-03-19","cited_by_count":40,"area":null},{"id":"2506.11526","title":"Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis","created":"2025-06-13","cited_by_count":38,"area":"driving"},{"id":"2409.04003","title":"DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes","created":"2024-09-06","cited_by_count":35,"area":"diffusion"},{"id":"2501.00601","title":"DreamDrive: Generative 4D Scene Modeling from Street View Images","created":"2024-12-31","cited_by_count":35,"area":"wm"},{"id":"2504.07958","title":"Detect Anything 3D in the Wild","created":"2025-04-10","cited_by_count":33,"area":null},{"id":"2412.06273","title":"Omni-Scene: Omni-Gaussian Representation for Ego-Centric Sparse-View Scene Reconstruction","created":"2024-12-09","cited_by_count":32,"area":null},{"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":"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":"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":"2511.16825","title":"WorldGen: From Text to Traversable and Interactive 3D Worlds","created":"2025-11-20","cited_by_count":19,"area":null},{"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":"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":"2506.03079","title":"ORV: 4D Occupancy-centric Robot Video Generation","created":"2025-06-03","cited_by_count":17,"area":"wm"},{"id":"2505.15880","title":"Challenger: Affordable Adversarial Driving Video Generation","created":"2025-05-21","cited_by_count":16,"area":"driving"},{"id":"2509.23402","title":"WorldSplat: Gaussian-Centric Feed-Forward 4D Scene Generation for Autonomous Driving","created":"2025-09-27","cited_by_count":13,"area":"diffusion"},{"id":"2503.22231","title":"CoGen: 3D Consistent Video Generation via Adaptive Conditioning for Autonomous Driving","created":"2025-03-28","cited_by_count":12,"area":null},{"id":"2412.03520","title":"Seeing Beyond Views: Multi-View Driving Scene Video Generation with Holistic Attention","created":"2024-12-04","cited_by_count":11,"area":null},{"id":"2503.14537","title":"Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey","created":"2025-03-17","cited_by_count":9,"area":"driving"},{"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":"2509.20251","title":"4D Driving Scene Generation With Stereo Forcing","created":"2025-09-24","cited_by_count":8,"area":null},{"id":"2410.23114","title":"Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models","created":"2024-10-30","cited_by_count":7,"area":"lr"},{"id":"2505.08854","title":"Generative AI for Autonomous Driving: Frontiers and Opportunities","created":"2025-05-13","cited_by_count":7,"area":"driving"},{"id":"2507.08885","title":"AirScape: An Aerial Generative World Model with Motion Controllability","created":"2025-07-10","cited_by_count":7,"area":"wm"},{"id":"2510.23205","title":"VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting","created":"2025-10-27","cited_by_count":6,"area":"driving"},{"id":"2507.01735","title":"ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving","created":"2025-07-02","cited_by_count":5,"area":null},{"id":"2508.19204","title":"LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding","created":"2025-08-26","cited_by_count":5,"area":null},{"id":"2512.06865","title":"Spatial Retrieval Augmented Autonomous Driving","created":"2025-12-07","cited_by_count":5,"area":"driving"},{"id":"2512.14225","title":"OmniGen: Unified Multimodal Sensor Generation for Autonomous Driving","created":"2025-12-16","cited_by_count":5,"area":null},{"id":"2504.06801","title":"MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection","created":"2025-04-09","cited_by_count":4,"area":null},{"id":"2602.20685","title":"RAYNOVA: Scale-Temporal Autoregressive World Modeling in Ray Space","created":"2026-02-24","cited_by_count":4,"area":"wm"},{"id":"2605.11596","title":"HorizonDrive: Self-Corrective Autoregressive World Model for Long-horizon Driving Simulation","created":"2026-05-12","cited_by_count":4,"area":"wm"},{"id":"2602.21333","title":"HorizonForge: Driving Scene Editing with Any Trajectories and Any Vehicles","created":"2026-02-24","cited_by_count":3,"area":"diffusion"},{"id":"2603.10408","title":"Motion Forcing: A Decoupled Framework for Robust Video Generation in Motion Dynamics","created":"2026-03-11","cited_by_count":3,"area":null},{"id":"2603.14938","title":"FAR-Drive: Frame-AutoRegressive Video Generation in Closed-Loop Autonomous Driving","created":"2026-03-16","cited_by_count":3,"area":"driving"},{"id":"2504.16740","title":"Gaussian Splatting is an Effective Data Generator for 3D Object Detection","created":"2025-04-23","cited_by_count":2,"area":null},{"id":"2506.22800","title":"RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors","created":"2025-06-28","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":"2603.12864","title":"Composing Driving Worlds through Disentangled Control for Adversarial Scenario Generation","created":"2026-03-13","cited_by_count":2,"area":"driving"},{"id":"2503.14501","title":"Advances in 4D Generation: A Survey","created":"2025-03-18","cited_by_count":1,"area":null},{"id":"2504.17076","title":"Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection","created":"2025-04-23","cited_by_count":1,"area":null},{"id":"2508.00299","title":"Controllable Pedestrian Video Editing for Multi-View Driving Scenarios via Motion Sequence","created":"2025-08-01","cited_by_count":1,"area":null},{"id":"2510.07856","title":"XYZCylinder: Towards Compatible Feed-Forward 3D Gaussian Splatting for Driving Scenes via Unified Cylinder Lifting Method","created":"2025-10-09","cited_by_count":1,"area":null},{"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":"2510.12308","title":"Hybrid Gaussian Splatting for Novel Urban View Synthesis","created":"2025-10-14","cited_by_count":1,"area":"diffusion"},{"id":"2511.22187","title":"HybridWorldSim: A Scalable and Controllable High-fidelity Simulator for Autonomous Driving","created":"2025-11-27","cited_by_count":1,"area":"driving"},{"id":"2601.15221","title":"ScenDi: 3D-to-2D Scene Diffusion Cascades for Urban Generation","created":"2026-01-21","cited_by_count":1,"area":"diffusion"},{"id":"2602.11875","title":"DiffPlace: Street View Generation via Place-Controllable Diffusion Model Enhancing Place Recognition","created":"2026-02-12","cited_by_count":1,"area":"diffusion"},{"id":"2603.28353","title":"VistaGEN: Consistent Driving Video Generation with Fine-Grained Control Using Multiview Visual-Language Reasoning","created":"2026-03-30","cited_by_count":1,"area":"driving"},{"id":"2606.20110","title":"FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model","created":"2026-06-18","cited_by_count":1,"area":"diffusion"},{"id":"2503.10410","title":"RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation","created":"2025-03-13","cited_by_count":0,"area":null},{"id":"2604.02003","title":"ProDiG: Progressive Diffusion-Guided Gaussian Splatting for Aerial to Ground Reconstruction","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2604.06113","title":"SEM-ROVER: Semantic Voxel-Guided Diffusion for Large-Scale Driving Scene Generation","created":"2026-04-07","cited_by_count":0,"area":"diffusion"},{"id":"2605.15116","title":"DriveCtrl: Conditioned Sim-to-Real Driving Video Generation","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.29935","title":"CityGen: Structure-Guided City-Style Synthesis for Cross-City Autonomous Driving","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2606.31109","title":"InfiniVerse: Occupancy Guided Unbounded Scene Generation for Autonomous Driving","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2608.17420","title":"SPVC: Structured and Panoptic Video Fixing for Cross-Dataset Driving Scene Rendering","created":"2026-08-18","cited_by_count":0,"area":null},{"id":"2608.19036","title":"USR-Drive: Unified Driving Scene Representation via Joint Denoising of 3D Gaussians and Boxes","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2610.06687","title":"ChronoWorld: Camera-Controlled Consistent 4D World Generation via Spatiotemporal Cues and Geometric Reflections","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}