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Link precomputed SLAT targets from dataset card

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  1. README.md +21 -3
README.md CHANGED
@@ -60,8 +60,8 @@ The completed extent dataset retains 19,408 training/evaluation views;
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  592 source captures were rejected by target preparation.
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  Archive inventories and SHA-256 checksums are in `bundles/<dataset>/index.json`.
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- FoundationPose currently has raw archives only. Diagnostic subsets, raw downloads,
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- model weights and model-specific feature caches are not included.
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  ## Restore on another server
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@@ -103,7 +103,8 @@ python -m slat_segmentation.train --config slat_segmentation/configs/front3d_sag
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  Original manifests, artifact completion markers, checksums, identities and split
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  policies are retained byte-for-byte inside the archives. Generation settings and
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  code hashes are also available under `metadata/<dataset>/conversion_policy.json`.
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- No model checkpoint was used for this upload; no checkpoint weights are included.
 
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  Source datasets retain their original licenses and access terms.
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  ## Input and geometry previews
@@ -158,3 +159,20 @@ View: `003c09039641a2b2efa1`.
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  [Posed prompted GT geometry (GLB)](previews/ycbv/test-geometry.glb)
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  592 source captures were rejected by target preparation.
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  Archive inventories and SHA-256 checksums are in `bundles/<dataset>/index.json`.
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+ The extent archives exclude diagnostic subsets, raw downloads, model weights, and model-specific feature caches.
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+ FoundationPose currently has raw archives only.
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  ## Restore on another server
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  Original manifests, artifact completion markers, checksums, identities and split
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  policies are retained byte-for-byte inside the archives. Generation settings and
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  code hashes are also available under `metadata/<dataset>/conversion_policy.json`.
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+ The extent upload does not include model weights.
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+ SLAT target inventories record the frozen encoder provenance.
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  Source datasets retain their original licenses and access terms.
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  ## Input and geometry previews
 
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  [Posed prompted GT geometry (GLB)](previews/ycbv/test-geometry.glb)
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+ ## Precomputed SLAT-shape targets
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+
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+ The [SLAT target snapshots](precomputed_slat/README.md) contain available 32³ shape latents for both training datasets.
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+ The frozen TRELLIS.2 shape encoder produced these latents.
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+
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+ | Dataset | Training views | Encoded objects | Archive GiB |
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+ | --- | ---: | ---: | ---: |
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+ | 3D-FRONT | 39,930 | 240,952 | 5.19 |
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+ | SAGE-10k | 17,456 | 397,203 | 1.18 |
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+
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+ Three SAGE-10k objects retain encoding failures.
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+ Scene encoding remains partial.
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+ Frozen DINOv3 and NAF feature caches still require preparation.
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+ The snapshots preserve the recorded completion states.
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+
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+ The [SLAT instructions](precomputed_slat/README.md#restore-the-caches) describe restoration with `--bundle-root precomputed_slat`.
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+ The extent archives remain under `bundles/`.