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Ditch the noisy averaging: this method unlocks stable, long-horizon robot planning with diffusion models by enforcing consistency on *clean* data estimates.
Forget synthetic data—scaling up human egocentric video by 20x unlocks surprisingly effective dexterous robot manipulation, even transferring to robots with different hand configurations.
Forget painstakingly engineering robot behaviors: DreamZero learns directly from video of other robots or even humans, adapting to new tasks and bodies with just minutes of data.
