Imagination-to-Real transforms the way robots learn by providing them with realistic, diverse, and geometrically accurate visual data.

The integration of Generative AI with classical physics simulators helps create synthetic datasets that are rich in variation, enabling robots to train on tasks previously deemed too complex or expensive to model.

we encourage developers, researchers, and enthusiasts to contribute to Imagination-to-Real.

Contribute to imagination-to-real in open-source sprint!
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