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.
Multi-task geometric estimation of depth and surface normal from monocular 360◦ images.preprint arXiv:2411.01749, 2024
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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.