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      "statement": "# Surflo: global-state surface generation from unposed views\n\nCompressed variable numbers of unposed RGB views into fixed-size global latent tokens and decoded oriented surface points using conditional flow matching, with photometric/depth guidance to reduce local inconsistency.\n\n## Scientific scope\n\nInherits frozen VGGT features and flow matching. Arbitrarily chosen output point counts do not imply arbitrary recovered geometric detail, exact hidden geometry or constant decoding cost; guidance adds inference computation.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nAntoine Guédon; Shu Nakamura; Nicolas Dufour; Jiahui Lei; Ko Nishino; Angjoo Kanazawa\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [Surflo: Consistent 3D Surface Flow Model with Global State](https://arxiv.org/abs/2606.13644v1)\n- [Kyutai scientific publications index](https://kyutai.org/papers/)\n",
      "summary": "Compressed variable numbers of unposed RGB views into fixed-size global latent tokens and decoded oriented surface points using conditional flow matching, with photometric/depth guidance to reduce local inconsistency.",
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