Document geometry-only inference and reusable evaluation artifacts

README.md

@@ -179,6 +179,8 @@ The prepared data does not replace access agreements for original source assets.
 The required [evaluation dataset](evaluation/README.md) contains 2,603 images with visible masks and GT object meshes.
 It includes all 100 PICASSO images, all 1,503 MessyKitchens images, and 1,000 random 3D-FRONT test views.
 The PartProbe3D benchmark requires this dataset.
+Benchmark inference and scoring require geometry meshes.
+Model comparisons preserve native geometry and omit independent texture generation.
 The transfer is 23.40 GB.
 MessyKitchens shares 100 GT scene meshes across its views.
 Default training downloads exclude this bundle.

evaluation/README.md

@@ -67,6 +67,17 @@ The required evaluation bundle restores to `datasets/evaluation/`.
 Default training downloads exclude this bundle.
 The source manifest at `code/evaluation_manifest.json` records the loader files and patch checksum.
 
+## Geometry-only inference
+
+The benchmark compares geometry meshes.
+Comparison baselines disable independent appearance decoding, UV generation, and texture baking.
+Geometry checks must confirm unchanged surfaces, object placement, indices, units, and coordinate frames.
+Native geometry settings remain fixed.
+
+Save raw prediction GLBs and their input and model provenance.
+Keep RGB, masks, GT references, shared depth, and scoring results with those predictions.
+These artifacts support additional geometry metrics without repeating inference.
+
 ## Read samples
 
 ```python

evaluation/index.json

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evaluation/metadata.tar

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