Qiang Qin

DragTraffic: Interactive and Controllable Traffic Scene Generation for Autonomous Driving

Evaluating and training autonomous driving systems require diverse and scalable corner cases. However, most existing scene generation methods lack controllability, accuracy, and versatility, resulting in unsatisfactory generation results. Inspired by DragGAN in image generation, we propose DragTraff