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Cross-object alignment among geometrically similar interaction regions during training enables structures on unseen objects that resemble previously observed ones to produce representations similar to those learned during training, facilitating target-region recognition.
Despite progress in vision-language models, 3D spatial reasoning from 2D images remains challenging. Text-based methods describe intermediate geometry with discrete tokens, limiting fidelity for continuous spatial relations. Continuous latents offer richer representations, but a single latent type does not explicitly s...
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