Bridging the gap between synthetic and real datasets for the car domain: a comparison between CARLA2rel and NVIDIA Cosmos

This thesis aims to evaluate and compare two different approaches for the synthetic dataset generation in the car domain: CARLA2real (based on Unreal Engine) and NVIDIA Cosmo (a physical AI based-pipeline to support the photorealistic transfer).