Sign inGet started
Paper · arXiv

Unified Panoramic Geometry Estimation via Multi-View Foundation Models

Geometry estimation from perspective images has greatly advanced, maturing to the point where off-the-shelf foundation models are able to reconstruct 3D scene structure not only from multi-view imagery, but even from a single view. A natural extension is 3D reconstruction from panoramas, with the exciting prospect of recovering a full 360-degree scene from a single panoramic image. In this work, we introduce PaGeR (Panoramic Geometry Reconstruction), a framework to lift powerful 3D foundation models designed for perspective imagery to the panorama domain. Our strategy is to start from a pre-trained transformer for 3D reconstruction and turn it into a unified high-performance model that pr...

AuthorsVukasin Bozic, Isidora Slavkovic, Dominik Narnhofer et al.
Primary categorycs.CV
Published25 May 2026
Last updated at source27 May 2026
cs.CVcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/2890d950-193a-4d90-9ba8-353982753119" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Models and datasets referencing this paper

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.