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license: mit
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license: mit
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<p align="center">
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<h2 align="center">YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting</h2>
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<p align="center">
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<a href="https://botaoye.github.io/">Botao Ye</a>
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路
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<a href="https://scholar.google.com/citations?user=eAR23MAAAAAJ&hl=en">Boqi Chen</a>
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路
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<a href="https://haofeixu.github.io/">Haofei Xu</a>
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路
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<a href="https://cvg.ethz.ch/team/Dr-Daniel-Bela-Barath/">Daniel Barath</a>
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路
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<a href="https://people.inf.ethz.ch/marc.pollefeys/">Marc Pollefeys</a>
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</p>
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<p align="center">
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<a href="https://arxiv.org/abs/2511.07321"><img src="https://img.shields.io/badge/arXiv-2511.07321-b31b1b.svg" alt="arXiv"></a>
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<a href="https://botaoye.github.io/yonosplat/"><img src="https://img.shields.io/badge/Project-Page-green.svg" alt="Project Page"></a>
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<a href="LICENSE"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License"></a>
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</p>
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<p align="center">
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<a href="">
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<img src="https://botaoye.github.io/yonosplat/assets/yonosplat_teaser.png" alt="Teaser" width="100%">
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</a>
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</p>
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<p align="center">
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<strong>YoNoSplat</strong> reconstructs 3D Gaussian splats directly from unposed and uncalibrated images, while flexibly leveraging ground-truth camera poses or intrinsics when available.
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</p>
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