Latent-Foresight: End-to-End Learning Predictable Representations for Latent World Models
Latent-Foresight jointly learns a tokenizer and flow model so vision latents stay predictable.
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Latent-Foresight jointly learns a tokenizer and flow model so vision latents stay predictable.
Frozen DINOv3 optical prototypes supervise SAR target recognition without EO/SAR pairs, improving classification on the heavily imbalanced UNICORNv2 dataset.
DriveZero pairs a frozen vision-foundation-model perception stack with a PPO-trained closed-loop RL teacher to beat replay experts on nuPlan.
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