arXiv — cs.AI preprintsInternational5 October 2026
ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation
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arXiv:2607.06565v2 Announce Type: replace-cross Abstract: Unified 3D foundation models aspire to generate 3D assets and reason about them in language within a single backbone, but their text-3D interaction remains largely implicit. Existing methods concatenate text and 3D tokens into a flat sequence and rely on self-attention, collapsing coarse structural cues and fine geometric details into one undifferentiated representation. We introduce ELSA3D, a unified 3D model that addresses this with elastic semantic anchoring, structuring language and geometric reasoning jointly along matched abstract
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