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masked-spacetime-hashing
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Campus

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Campus dataset for dynamic novel view synthesis

From Paper [NeurIPS 2023 spotlight] MSTH: Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction

Paper | Project Page | Code

Dataset Description

Each scene contains:

<scene_name>_<camera_id>.mp4: The multi-view videos collected for this scene.
transforms_<split>.json: The camera poses and intrinsics estimated using COLMAP. The format is the same as nerfstudio.
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).