Generalization of VGGT Beyond Studied Configurations

Investigate whether the geometric understanding and robustness demonstrated by the Visual Geometry Grounded Transformer (VGGT) on synthetic data and selected camera configurations generalize to fundamentally different geometric and scene configurations.

Background

The study evaluates VGGT primarily on a controlled synthetic dataset with specific camera setups, analyzing geometric interpretability and robustness under perturbations.

The authors explicitly note uncertainty about generalization to substantially different geometries and scenes, highlighting the need to assess VGGT’s behavior outside the tested synthetic settings.

References

Our study focuses on synthetic data and certain camera configurations, so generalization to fundamentally different geometric and scene configurations remains unclear.

On Geometric Understanding and Learned Data Priors in VGGT (2512.11508 - Bratulić et al., 12 Dec 2025) in Section 6 (Discussion), Limitations