{"ID":2835830,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.22187","arxiv_id":"2511.22187","title":"HybridWorldSim: A Scalable and Controllable High-fidelity Simulator for Autonomous Driving","abstract":"Realistic and controllable simulation is critical for advancing end-to-end autonomous driving, yet existing approaches often struggle to support novel view synthesis under large viewpoint changes or to ensure geometric consistency. We introduce HybridWorldSim, a hybrid simulation framework that integrates multi-traversal neural reconstruction for static backgrounds with generative modeling for dynamic agents. This unified design addresses key limitations of previous methods, enabling the creation of diverse and high-fidelity driving scenarios with reliable visual and spatial consistency. To facilitate robust benchmarking, we further release a new multi-traversal dataset MIRROR that captures a wide range of routes and environmental conditions across different cities. Extensive experiments demonstrate that HybridWorldSim surpasses previous state-of-the-art methods, providing a practical and scalable solution for high-fidelity simulation and a valuable resource for research and development in autonomous driving.","short_abstract":"Realistic and controllable simulation is critical for advancing end-to-end autonomous driving, yet existing approaches often struggle to support novel view synthesis under large viewpoint changes or to ensure geometric consistency. We introduce HybridWorldSim, a hybrid simulation framework that integrates multi-travers...","url_abs":"https://arxiv.org/abs/2511.22187","url_pdf":"https://arxiv.org/pdf/2511.22187v3","authors":"[\"Qiang Li\",\"Yingwenqi Jiang\",\"Tuoxi Li\",\"Duyu Chen\",\"Xiang Feng\",\"Yucheng Ao\",\"Shangyue Liu\",\"Xingchen Yu\",\"Youcheng Cai\",\"Yumeng Liu\",\"Yuexin Ma\",\"Xin Hu\",\"Li Liu\",\"Yu Zhang\",\"Linkun Xu\",\"Bingtao Gao\",\"Xueyuan Wang\",\"Shuchang Zhou\",\"Xianming Liu\",\"Ligang Liu\"]","published":"2025-11-27T07:53:16Z","proceeding":"cs.CV","tasks":"[\"cs.CV\",\"cs.RO\"]","methods":"[]","has_code":false}