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Training a foundation model on a trillion minutes of wearable sensor data unlocks surprisingly accurate predictions across a wide range of health conditions, even with limited labeled data.
Unlock 36% better video depth estimation and 20% better camera pose estimation by simply letting your model learn from its own unlabeled video predictions.
Achieve precise, coherent, and mask-free 3D editing from text prompts by having a multimodal LLM decompose the prompt into structural and appearance-level guidance for a rectified-flow inpainting pipeline.
