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prs-eth / PaGeR-depth
Model's Last Updated: February 09 2026
depth-estimation
Introduction of PaGeR-depth
Model Details of PaGeR-depth
📟 PaGeR(Panoramic Geometry Estimation) Depth Estimation Model Card
This is a model card for the
PaGeR-depth
model for monocular depth estimation from a single panoramic
ERP
image.
The model is fine-tuned from the
marigold-e2e-ft
model
as
described in our paper:
- [Paper](paper link) titled "Panorama Geometry Estimation using Single-Step Diffusion Models"
Model Details
- Developed by: Vukasin Bozic , Isidora Slavkovic , Dominik Narnhofer , Nando Metzger , Denis Rozumny , Konrad Schindler , Nikolai Kalischek .
- Model type: Generative latent diffusion-based one-step scale-invariant monocular panoramic depth estimation from a single ERP image.
- License: CreativeML OpenRAIL License .
-
Model Description:
This model can be used to generate an estimated depth map of a panoramic input image.
- Resolution : The model is designed to support large resolutions up to 3K.
- Steps and scheduler : This model works in a swift, one-step regime.
-
Outputs
:
- Scale-invariant depth map : The predicted values represent a depth map, interpolating between the near and far planes of the model's choice.
- Resources for more information: [Project Website](insert link), [Paper](insert link), Code .
- Cite as:
Add citation
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Updated:May 20 2025
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