SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model
Shuhan Tan, John Lambert, Hong Jeon, Sakshum Kulshrestha, Yijing Bai, Jing Luo, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2025年份
3顶会引用
摘要
Simulation Route (a) Initial Scene Generation (b) Long Simulation Rollout (c) Final Destination Figure 1. Overview. SceneDiffuser++ is a single unified, end-to-end trained generative world model that enables CitySim: city-scale traffic simulation that takes in a large map region, start and end points, and simulates everything in between, from initial scene generation, agent behavior prediction, occlusion reasoning, dynamic agent generation (spawning and removal) to environment simulation (traffic lights).
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引用它的顶会 Paper3
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- VectorWorld: Efficient Streaming World Model via Diffusion Flow on Vector GraphsChaokang Jiang, Desen Zhou, Jiuming Liu, Li SunICML 2026
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