Aligned scene latents at 32³
Publication is complete.
These caches cover 99,642 training views across three datasets.
Each reference voxel retains one token and per-object membership labels.
The latent_valid flag marks rows with a native encoder output.
Rows without native output retain their coordinates and zero latent values.
| Dataset | Training views | NPZ data, GB |
|---|---|---|
| 3dfront | 39,930 | 4.496 |
| sage | 17,456 | 1.136 |
| foundationpose | 42,256 | 4.948 |
The archives preserve the original files and codec provenance.
Each component becomes available after its index.json records complete=true.
Publication status records completion for the full collection.
Restore
Restore the matching observations before reading scene targets.
The slat-seg task downloads those observations without other latent targets.
python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task slat-seg
Restore the selected scene caches:
python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset 3dfront --bundle-root optional/scene/32 --cleanup
python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset sage --bundle-root optional/scene/32 --cleanup
python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset foundationpose --bundle-root optional/scene/32 --cleanup
The restored root is datasets/<dataset>/slat/32/scene_targets/.
dataloader.slat_scene.SceneTargetDataset reads the caches with their matching saved observations.
The reader does not require source meshes.