◇ Paper · WorldRover: A Scalable Synthetic Video Data Engine for World Exploration with Rich Annotations

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    "summary": "Learning to generate or reconstruct explorable worlds requires video paired with more than RGB: camera motion, scene geometry, temporal correspondence and, for interactive models, control signals. Real capture can provide some of these signals, but dense geometry and long-range correspondence usually rely on estimation or specialised instrumentation. Rendering provides these quantities directly, y",
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      "title": "WorldRover: A Scalable Synthetic Video Data Engine for World Exploration with Rich Annotations",
      "authors": [
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        "Zhengyuan Lin",
        "Runyi Li",
        "Yihao Liu",
        "Kaipeng Zhang",
        "Yongtao Ge"
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        "authors": [
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          "Zhengyuan Lin",
          "Runyi Li",
          "Yihao Liu",
          "Kaipeng Zhang",
          "Yongtao Ge"
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        "summary": "Learning to generate or reconstruct explorable worlds requires video paired with more than RGB: camera motion, scene geometry, temporal correspondence and, for interactive models, control signals. Real capture can provide some of these signals, but dense geometry and long-range correspondence usually rely on estimation or specialised instrumentation. Rendering provides these quantities directly, yet existing synthetic resources rarely combine them on the same frames while also supporting controlled changes of viewpoint and appearance. We introduce WorldRover, a data engine for generating richl",
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