PaGeR is a framework that lifts perspective 3D foundation models to omnidirectional images through mixed training, enabling unified prediction of scale-invariant depth, metric depth, surface normals, and sky masks from single panoramas.
360 ◦ surface regression with a hyper-sphere loss.preprint arXiv:1909.07043, 2019
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Unified Panoramic Geometry Estimation via Multi-View Foundation Models
PaGeR is a framework that lifts perspective 3D foundation models to omnidirectional images through mixed training, enabling unified prediction of scale-invariant depth, metric depth, surface normals, and sky masks from single panoramas.