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A single image can now yield complete, high-fidelity 3D scenes, indoors and out, by adapting object-centric priors with adaptive chunking and explicit 2D-3D correspondence.
Eliminating the language model output projection matrix in favor of geodesic decoding on a Poincaré ball cuts perplexity by over 50% compared to tied Transformers and SSMs at sub-million parameter scale.