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Imperial College London
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An agent can generate high-fidelity, simulation-ready 3D indoor scene reconstructions by iteratively editing Python code, outperforming frontier models.
Seedance 2.0 leapfrogs existing models by unifying multi-modal inputs (text, image, audio, video) into a single architecture for generating high-quality, longer-duration audio-video content.
