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Surflo: global-state surface generation from unposed views

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.

What is recorded here?

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.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Inherits 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.

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People and systems

Antoine Guédon; Shu Nakamura; Nicolas Dufour; Jiahui Lei; Ko Nishino; Angjoo Kanazawa

Source-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.

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English catalogue narrative

Surflo: global-state surface generation from unposed views

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.

Scientific scope

Inherits 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.

Reading status

This 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.

People and systems

Antoine Guédon; Shu Nakamura; Nicolas Dufour; Jiahui Lei; Ko Nishino; Angjoo Kanazawa

Source-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.

Original sources