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--- |
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license: apache-2.0 |
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tags: |
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- novel view synthesis |
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- dynamic |
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- multi-view video |
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--- |
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# Campus dataset for dynamic novel view synthesis |
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From Paper [NeurIPS 2023 spotlight] [MSTH: Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction]() |
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[Paper]() | [Project Page](https://masked-spacetime-hashing.github.io) | [Code](https://github.com/masked-spacetime-hashing/msth) |
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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 |
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