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.
DreamCube: 3d panorama generation via multi-plane synchronization.preprint arXiv:2506.17206, 2025
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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.