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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
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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).
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