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README.md
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<a href="https://insta360-research-team.github.io/Unisharp-website/"><img src="https://img.shields.io/badge/Project_Page-Website-green" alt="Project Page"></a>
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<a href="https://huggingface.co/spaces/Insta360-Research/UniSHARP"><img src="https://img.shields.io/badge/HuggingFace-Demo-yellow" alt="Demo"></a>
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<a href="https://huggingface.co/datasets/Insta360-Research/OmniRooms"><img src="https://img.shields.io/badge/HuggingFace-OmniRooms-orange" alt="Dataset"></a>
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</p>
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UniSHARP extends SHARP-style photorealistic monocular view synthesis to universal camera systems. Given a single image from a perspective, wide-FoV, fisheye, or panoramic camera, UniSHARP predicts a 3D Gaussian representation and renders high-quality novel views.
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<p align="center">
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<a href="https://insta360-research-team.github.io/Unisharp-website/"><img src="https://img.shields.io/badge/Project_Page-Website-green" alt="Project Page"></a>
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<a href="https://huggingface.co/spaces/Insta360-Research/UniSHARP"><img src="https://img.shields.io/badge/HuggingFace-Demo-yellow" alt="Demo"></a>
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<a href="https://huggingface.co/datasets/Insta360-Research/OmniRooms"><img src="https://img.shields.io/badge/HuggingFace-OmniRooms-orange" alt="Dataset"></a>
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<a href="https://github.com/Insta360-Research-Team/UniSHARP"><img src="https://img.shields.io/badge/GitHub-Code-blue?logo=github&logoColor=white" alt="GitHub"></a>
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</p>
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UniSHARP extends SHARP-style photorealistic monocular view synthesis to universal camera systems. Given a single image from a perspective, wide-FoV, fisheye, or panoramic camera, UniSHARP predicts a 3D Gaussian representation and renders high-quality novel views.
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<p align="center">
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