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SpatialGym Environmental Scenes

Indoor scenes for the two environmental tasks of SpatialGym — Camera Relocalization and Novel Path Discovery — with the navigation grids and task pairs precomputed, so the environments run right after download. License: CC BY-NC-SA 4.0

Overview

Source Scenes Camera Relocalization pairs (d1 / d2 / d3) Novel Path Discovery pairs (d1 / d2 / d3) Download Unpacked
interioragent 25 34 564 / 23 150 / 44 300 3 723 / 4 042 / 7 767 10.6 GB 14 GB
internscenes-gen 116 (bedroom 35, diningroom 42, livingroom 39) 160 203 / 155 106 / 171 394 18 021 / 21 866 / 14 153 18.0 GB 31 GB
scenesmith 194 (29 house + 165 room) 198 030 / 145 847 / 268 644 29 352 / 29 615 / 39 458 172 GB (5 parts) 224 GB
Total 335 392 797 / 324 103 / 484 338 51 096 / 55 523 / 61 378 ~201 GB ~270 GB

Every scene carries a walkable grid and both tasks' pair tables; the per-task manifests list the scenes each task draws from (manifest_*.json for Camera Relocalization, manifest_npd_*.json for Novel Path Discovery).

Files

SpatialGym_Environmental/
├── README.md
├── manifest.json                       # Camera Relocalization, all sources
├── manifest_interioragent.json         #   … per source (runs use one source at a time)
├── manifest_internscenes-gen.json
├── manifest_scenesmith.json
├── manifest_npd.json                   # Novel Path Discovery, all sources
├── manifest_npd_interioragent.json
├── manifest_npd_internscenes-gen.json
├── manifest_npd_scenesmith.json
├── interioragent.tar.gz                # unpacks to interioragent/
├── internscenes-gen.tar.gz             # unpacks to internscenes-gen/
├── scenesmith.tar.gz.part-00 … -04     # one gzip stream in five numbered pieces (50 GB file cap):
│                                       #   cat scenesmith.tar.gz.part-* | tar xz  →  scenesmith/
├── SHA256SUMS                          # checksums of the archives above
└── figures/                            # the images in this README

Unpack the archives next to the manifests; manifest paths are relative to that directory. SpatialGym_IsaacLab/assets/download.sh camera_relocalization in the SpatialGym repository fetches, verifies and unpacks everything (or a subset of the sources).

Per-scene structure

Common to every scene (written by the SpatialGym preprocessing, identical format across sources):

File Description
walkable_cells.json 0.25 m navigation grid: cells, per-room ids, 4-neighbour adjacency, height map
visibility.json, fov_cells.json Per-state field-of-view tables (1.6 m camera, 90°×90°)
pair_candidates.json All reachable (init, goal) state pairs
camera_relocalization/pairs.json Camera Relocalization pairs with difficulty tier
novel_path_discovery/pairs.json Novel Path Discovery demo tours, obstacles and tiers
walkable_grid.png Top-down grid visualisation

interioragentkujiale_XXXX/

File / Folder Description
kujiale_XXXX.usda Scene USD (with its own lights)
Meshes/, Materials/ Per-object meshes, PBR materials and textures
rooms.json Room polygons
*.hdr Environment map

internscenes-gen{bedroom,diningroom,livingroom}/{scene_id}/

File / Folder Description
composed_scene_no_doors.usd Scene USD with doors removed (composed_scene.usd for the one scene that has none, livingroom/6032)
layout.json Object layout (category, model id, bounding box)
StructureMesh/ Floor / wall meshes and boundary_points.json
textures/ Texture assets
renders/ Preview renders

scenesmith{house,room}/scene_XXX/

File / Folder Description
mujoco/usd/scene_scene_XXX.usda Scene USD (MuJoCo export; ceiling fixtures removed)
mujoco/meshes/ Mesh assets
combined_house/house.dmd.yaml Object list
room_geometry/ Per-room geometry
room_*/ Per-room assets
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