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Test-time training adapts a model to each new input at inference — powerful for generalisation, but hard to apply to real-time video without losing spatial coherence. This paper makes it work for streaming visual data, adapting continuously to scene geometry while maintaining strong 3D reasoning under real-time constraints. A major step toward practical embodied AI perception.
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