Driving Simulation from Real-World Data: How Well Can We Render and Drive?

This workshop brings together researchers in autonomous driving, computer vision, and graphics to advance the development of real-world data-driven driving simulators, as well as the autonomous driving algorithms in these photorealistic simulation environments. By tackling novel view synthesis and closed-loop autonomy in photorealistic simulations, we aim to push scalable, high-fidelity simulation forward. To promote community engagement and benchmarking, we also host two challenges: extrapolated novel view synthesis for urban scenes and closed-loop evaluation in photorealistic simulators.