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New framework tokenizes 3D scenes into object groups from unposed views

Researchers have developed a novel feed-forward framework that directly tokenizes 3D scenes into object-centric groups from unposed multi-view images. This approach, termed Instance-Structured 3D Tokenization, pairs instance tokens for identity with anchor tokens for geometry and appearance, enabling direct object-level manipulation. The system achieves competitive performance in novel view synthesis and surpasses existing methods in class-agnostic instance segmentation without requiring 3D annotations. AI

RANK_REASON The cluster contains an academic paper detailing a new method for 3D scene representation. [lever_c_demoted from research: ic=1 ai=1.0]

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New framework tokenizes 3D scenes into object groups from unposed views

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Mijin Yoo, In Cho, Subin Jeon, Jiwoo Lee, Eunbyung Park, Seon Joo Kim ·

    Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views

    arXiv:2606.29513v1 Announce Type: new Abstract: A 3D scene is understood through its objects, not the primitives that compose them. Yet feed-forward reconstruction methods output dense, unstructured sets of points or Gaussians, leaving object-level structure to be recovered after…