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# 🗃️ Pano-Infinigen Dataset
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<p align="center">
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<a title="arXiv" href="https://arxiv.org/abs/2505.09358" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
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<img src="https://img.shields.io/badge/%F0%9F%93%84%20Read%20-Paper-AF3436" alt="arXiv">
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<a title="
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<img src="https://img.shields.io/badge/%F0%9F%A4%97%
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</a>
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**Pano-Infinigen** is a synthetic dataset of high-resolution panoramic images in Equirectangular Projection (ERP), featuring perfectly aligned RGB, Depth, and Surface Normals. This dataset was generated using a modified [Infinigen](https://infinigen.org/) framework to support wide-angle panoramic geometry.
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## Dataset Summary
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- **Content:** Synthetic indoor and outdoor scenes.
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# 🗃️ Pano-Infinigen Dataset
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<p align="center">
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<a title="Github" href="https://github.com/prs-eth/PaGeR" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
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<img src="https://img.shields.io/github/stars/prs-eth/PaGeR?label=GitHub%20%E2%98%85&logo=github&color=C8C" alt="Github">
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</a>
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<a title="Website" href="https://pager360.github.io/" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
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<img src="https://img.shields.io/badge/%E2%99%A5%20Project%20-Website-blue" alt="Website">
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</a>
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<a title="arXiv" href="https://arxiv.org/abs/2505.09358" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
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<img src="https://img.shields.io/badge/%F0%9F%93%84%20Read%20-Paper-AF3436" alt="arXiv">
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</a>
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<a title="Hugging Face" href="https://huggingface.co/spaces/prs-eth/PaGeR" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
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<img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-FFD21E" alt="Hugging Face Spaces">
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</a>
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<a title="License" href="https://opensource.org/licenses/BSD-3-Clause" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
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<img src="https://img.shields.io/badge/License-BSD_3--Clause-blue.svg" alt="License">
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</a>
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</p>
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**Pano-Infinigen** is a synthetic dataset of high-resolution panoramic images in [ERP](https://en.wikipedia.org/wiki/Equirectangular_projection), featuring perfectly aligned RGB, Depth, and Surface Normals. This dataset was generated using a modified [Infinigen](https://infinigen.org/) framework to support wide-angle panoramic geometry.
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It serves as the primary training data for [PaGeR](https://pager360.github.io/), a single-step diffusion model for zero-shot panoramic depth and normal estimation.
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## Dataset Summary
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- **Content:** Synthetic indoor and outdoor scenes.
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