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--- |
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task_categories: |
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- image-to-3d |
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license: gpl-3.0 |
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--- |
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# PrimitiveAnything |
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<p align="center"> |
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📃 <a href="https://arxiv.org/abs/2505.04622" target="_blank">Paper</a> • 💻 <a href="https://github.com/PrimitiveAnything/PrimitiveAnything" target="_blank">[Github Repo]</a> • 🌐 <a href="https://primitiveanything.github.io/" target="_blank">Project Page</a> |
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</p> |
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This repository contains the test dataset presented in the paper [PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer](https://arxiv.org/abs/2505.04622). |
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**PrimitiveAnything** is a novel framework to decompose complex shapes into 3D primitive assemblies via the auto-regressive transformer. |
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## Structure |
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- `basic_shapes_norm` |
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- `basic_shapes_norm_pc10000` |
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- `demo_glb`: Demo GLB models |
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- `test_pc`: Test point clouds |
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## Usage |
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You can download the files directly from this repository or use the Hugging Face datasets library: |
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```python |
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from huggingface_hub import hf_hub_download, list_repo_files |
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# Get list of all files in repo |
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files = list_repo_files(repo_id="hyz317/PrimitiveAnything", repo_type="dataset") |
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# Download each file |
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for file in files: |
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file_path = hf_hub_download( |
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repo_id="hyz317/PrimitiveAnything", |
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filename=file, |
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repo_type="dataset", |
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local_dir='./data' |
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) |
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``` |
