Leveraging Generative AI to Synthesize Realistic Driving Datasets and Bridge the Simulation-to-Reality Gap

Generative AI models, including GAN-based and diffusion-based approaches, can be leveraged to synthesize large-scale, photo-realistic driving datasets by bridging the simulation-to-reality gap using semantic label maps as a bridge.