arXiv:2605.26368v1 Announce Type: cross Abstract: 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 panor
The rapid advancement and maturation of 3D foundation models for perspective imagery has created a natural opportunity to extend these capabilities to panoramic imaging.
This development significantly enhances the ability to reconstruct detailed 3D scenes from limited inputs, expanding the applicability of AI in spatial understanding.
The ability to accurately reconstruct full 360-degree 3D scenes from a single panoramic image could simplify environmental mapping, virtual reality content creation, and autonomous system perception.
- · Spatial computing platforms
- · Robotics and autonomous systems
- · Virtual reality and augmented reality developers
- · AI foundation model developers
- · Manual 3D reconstruction services
- · Legacy 3D capture methods requiring extensive multi-view setups
More efficient and cost-effective 3D environmental mapping becomes possible.
This could accelerate the development of highly realistic digital twins and immersive virtual environments.
Improved spatial AI could lay groundwork for more sophisticated AI agents interacting with complex 3D worlds.
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Read at arXiv cs.AI