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<sup>1</sup>MIT CSAIL, Scene Representation Group <sup>2</sup>Runway ML
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<h3 align="center"><a href="https://arxiv.org/abs/2510.24718">Paper</a> | <a href="https://andrewsonga.github.io/gvs/">Website</a></h3>
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This is the official benchmark for the paper [**_Generative View Stitching_**](https://arxiv.org/abs/2510.24718) (GVS), which enables <i>collision-free</i> camera-guided video generation for <i>predefined</i> trajectories, and presents a <i>non-autoregressive</i> alternative to video length extrapolation.
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<sup>1</sup>MIT CSAIL, Scene Representation Group <sup>2</sup>Runway ML
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<h3 align="center"><a href="https://arxiv.org/abs/2510.24718">Paper</a> | <a href="https://andrewsonga.github.io/gvs/">Website</a> | <a href="https://github.com/andrewsonga/generative_view_stitching">GitHub</a> </h3>
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</p>
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This is the official benchmark for the paper [**_Generative View Stitching_**](https://arxiv.org/abs/2510.24718) (GVS), which enables <i>collision-free</i> camera-guided video generation for <i>predefined</i> trajectories, and presents a <i>non-autoregressive</i> alternative to video length extrapolation.
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