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These files are renderings of (and, in the results packs, copies of meshes from) the Replica Dataset by Meta Reality Labs. Replica may be used, modified and published only for non-commercial research or educational purposes, and may be shared only with people who first agree to its terms (https://github.com/facebookresearch/Replica-Dataset/blob/main/LICENSE). By requesting access you agree to be bound by those terms.

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PRISM-benchmarks — inputs and results

Rendered inputs, raw method outputs and evaluation packs for the PRISM-VGGT streaming panoramic mapping benchmark (code: https://github.com/zRafaF/PRISM-benchmarks). Published so every number in the paper can be traced back to the exact frames and runs.

Layout

  • inputs/<tag>/ — one tar per scene (RGB + masks + GT poses + adapter metadata; no depth, no meshes) plus MANIFEST.json (code commit and render-config fingerprint) and the frozen scene list. rerun-v3 is the paper's matrix; pilot-v3 the rate / window study; older tags are kept for traceability and are superseded (see the repo's RESULTS_CHANGELOG.md).
  • results/<tag>/ — per-pod packs: every run's poses, cloud, timing and logs, plus the scoring inputs (GT poses, pinhole depth, one GT mesh per scene). live/ holds the in-progress checkpoints of a running pod.

How the data were made

Replica meshes (6 scenes) are levelled and rendered on collision-free camera walks planned on each scene's walkable free space, as an equirectangular panorama, a 90 deg pinhole and 4-face cube views per timestep. Everything is regenerated from the code at the commit in each MANIFEST.json (make inputs); see documentation/docs/decisions.md.

Terms

Derived from the Replica Dataset (Straub et al., 2019) under the Replica Dataset Research Terms: non-commercial research or education only; access requires agreeing to those terms. Cite Replica and the PRISM-VGGT paper when using the data.

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