| # Aligned scene latents at 32³ |
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|
| 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. |
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| | Dataset | Training views | NPZ data, GB | |
| | --- | ---: | ---: | |
| | 3dfront | 39,930 | 4.496 | |
| | sage | 17,456 | 1.136 | |
| | foundationpose | 42,256 | 4.948 | |
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| The archives preserve the original files and codec provenance. |
| Each component becomes available after its `index.json` records `complete=true`. |
| [Publication status](publication-progress.json) records completion for the full collection. |
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| ## Restore |
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| Restore the matching observations before reading scene targets. |
| The `slat-seg` task downloads those observations without other latent targets. |
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|
| ```bash |
| python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task slat-seg |
| ``` |
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| Restore the selected scene caches: |
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|
| ```bash |
| 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 |
| ``` |
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| 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. |
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