# FIORD Kitchen_In

| Item | File | Size |
|---|---|---|
| GOFish (Ours) Gaussians | `gaussians/point_cloud.ply` | 487,945 Gaussians, 121 MB |
| + Geometry Objective Gaussians | `gaussians_geo/point_cloud.ply` | 486,783 Gaussians, 121 MB |
| + Geometry Objective mesh | `mesh/mesh.ply`, `mesh/mesh.glb` | 291 MB PLY |
| Cameras | `cameras.json` | 408 train and 59 test frames |

Both Gaussian files carry the 3-D Mip filter baked into their scales. Reloading each PLY reproduces the checkpoint's stored positions, rotations, opacities and spherical harmonics exactly, and its filtered scales to float32 precision. `EXPORT.json` holds the checks and the source checkpoint sha256.
The mesh is byte-identical to the evaluated mesh, sha256 `7bba0d0f538c36b03a9c670b42e99047e902394b36c53599b35a5ae009313000`.
`lidar_alignment.json` maps the mesh, Gaussians and cameras into the FIORD LiDAR ground-truth frame used for the paper's geometry scores.
See the top-level README for formats and viewers.