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Joint image-depth generation can be achieved with a single model trained on sparse data, outperforming existing methods by a significant margin.
Robots can now learn manipulation skills from ordinary human videos, thanks to a 3D point tracking method that bridges the embodiment gap and requires only 20 robot demonstrations.