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Generating visually faithful driving simulations just got a boost with a novel framework that stabilizes error accumulation and enhances realism in closed-loop scenarios.
IRR-Drive's innovative dual-modality approach enables autonomous vehicles to self-correct trajectories with unprecedented reliability in dynamic environments.
Forget expensive human feedback loops: a VLM-powered reward function can efficiently align image editing diffusion models with human preferences.
