Datasets:
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Browse files
README.md
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@@ -24,7 +24,7 @@ This benchmark consists of a subset of random **600 samples** from the **ShapeTa
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The repository is structured to seamlessly plug into the `Prox-E` unified evaluator:
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- **`input_shapes/`**: Directory containing `600` input 3D meshes in OBJ format (`.obj`).
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- **`rendered_images/`**:
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- **`point_cloud/`**: Directory containing `600` dense point cloud of the input meshes (`.npz`).
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- **`instructions.json`**: Key-value metadata containing evaluation prompts, object classes and part-specific keywords.
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- **`shapetalk_600_set.csv`**: Full detailed metadata from the original ShapeTalk dataset on this 600-sample subset.
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The repository is structured to seamlessly plug into the `Prox-E` unified evaluator:
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- **`input_shapes/`**: Directory containing `600` input 3D meshes in OBJ format (`.obj`).
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- **`rendered_images/`**: 600 high-resolution upright 2D renders (PNG) of the input shapes, produced from TRELLIS's inversion outputs.
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- **`point_cloud/`**: Directory containing `600` dense point cloud of the input meshes (`.npz`).
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- **`instructions.json`**: Key-value metadata containing evaluation prompts, object classes and part-specific keywords.
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- **`shapetalk_600_set.csv`**: Full detailed metadata from the original ShapeTalk dataset on this 600-sample subset.
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