AutoAWG: Adverse Weather Generation with Adaptive Multi-Controls for Automotive Videos

ArXi:2604.18993v1 Announce Type: cross Perception robustness under adverse weather remains a critical challenge for autonomous driving, with the core bottleneck being the scarcity of real-world video data in adverse weather. Existing weather generation approaches struggle to balance visual quality and annotation reusability. We present AutoAWG, a controllable Adverse Weather video Generation framework for Autonomous driving.