Classical structure-from-motion reconstruction proceeds iteratively, refining camera poses and scene geometry from a current estimate. This allows maps to easily expand without recomputing already com
Solv3R is a looped transformer that iteratively refines multi-view geometry from its current state, supporting incremental updates, caching, and multiple reconstruction tasks without specialized modules.
Classical structure-from-motion reconstruction proceeds iteratively, refining camera poses and scene geometry from a current estimate. This allows maps to easily expand without recomputing already computed views, or geometry estimates to improve as more observations are provided. Most geometric foundation models, however, predict entire geometry in a single forward pass or update a recurrent state as frames arrive sequentially, making this expansion and refinement non-trivial. We introduce Solv3R, a looped transformer that learns to continue solving multi-view geometry from its current state. Importantly, its update operator is independent of the iteration count, allowing previously…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
Solv3R: 3D Looped Transformer as a Multi-view Solver was first seen on Hugging Face · Daily papers on Nov 5, 2026. Since then it has appeared in 14 checks on 2 different days. Its best position was #11 of 30, reached on Nov 5, 15:28 UTC. It dropped off the list after Nov 6, 05:28 UTC.
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Not at the moment. It was last on the list on Nov 6, 05:28 UTC, after 2 days of trending.
#11 on Hugging Face · Daily papers, on Nov 5, 15:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Nov 5, 2026 and has been on the list on 2 days (14 checks) since.