Composing Driving Worlds through Disentangled Control for Adversarial Scenario Generation

ArXi:2603.12864v1 Announce Type: new A major challenge in autonomous driving is the "long tail" of safety-critical edge cases, which often emerge from unusual combinations of common traffic elements. Synthesizing these scenarios is crucial, yet current controllable generative models provide incomplete or entangled guidance, preventing the independent manipulation of scene structure, object identity, and ego actions. We