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Solv3R: 3D Looped Transformer as a Multi-view Solver

Jeong-gi Kwak, Andrea Tagliasacchi, Sho Kagami, Yuki Ono, Kwang Moo Yi

Reuses one transformer block to refine a multi-view geometric state. Trains stable, corrective updates so reconstruction can continue when new images arrive, with stopping based on changes in the hidden state.

First public: · Added to this list: November 3, 2026

Cite this paper

ArXiv preprint

arXiv:2611.02857 · Initial submission: 2026-11-02

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Recurrent reasoning — Repeat parts of the model or keep intermediate information in memory while working through a problem. Some methods also learn how many passes to run.