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@@ -14,7 +14,7 @@ From Paper [NeurIPS 2023 spotlight] [MSTH: Masked Space-Time Hash Encoding for E
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  ## Dataset Description
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  Each scene contains:
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  - `<scene_name>_<camera_id>.mp4`: The multi-view videos collected for this scene.
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- - `transforms_<split>.json`: The camera poses and intrinsics estimated using COLMAP. The format is the same as [nerfstudio]().
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  - `colmap/`: The sparse point cloud and camera infos obtained during COLMAP pose estimation, could be used for methods starting with a sparse point cloud (like 3D Gaussian Splatting).
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  ## Demos
 
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  ## Dataset Description
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  Each scene contains:
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  - `<scene_name>_<camera_id>.mp4`: The multi-view videos collected for this scene.
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+ - `transforms_<split>.json`: The camera poses and intrinsics estimated using COLMAP. The format is the same as [nerfstudio](https://docs.nerf.studio/quickstart/data_conventions.html).
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  - `colmap/`: The sparse point cloud and camera infos obtained during COLMAP pose estimation, could be used for methods starting with a sparse point cloud (like 3D Gaussian Splatting).
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  ## Demos