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Synthesizing new city driving environments from HD maps and visual cues allows autonomous vehicles to train for new locations without needing any labeled data.
Ditch the bounding boxes: DualDiff leverages Occupancy Ray-shape Sampling to generate driving scene videos with unprecedented fidelity, outperforming existing methods by a significant margin in both generation quality and downstream task performance.