Add pipeline tag, library name, and paper link
Browse filesThis PR improves the model card by:
- Adding the `pipeline_tag: image-to-3d`, making the model discoverable under this pipeline.
- Adding `library_name: transformers`, which indicates compatibility with the Hugging Face Transformers library and enables an automated usage snippet.
- Linking the model directly to its paper: [PhysX-Anything: Simulation-Ready Physical 3D Assets from Single Image](https://huggingface.co/papers/2511.13648).
README.md
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---
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datasets:
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- Caoza/PhysX-Mobility
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- Caoza/PhysX-3D
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- Qwen/Qwen2.5-VL-7B-Instruct
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tags:
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- Simulation-Ready
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- Physical 3D Generation
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- 3D Vision
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- 3D
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---
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## PhysX-Anything
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The model of PhysX-Anything,
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Project page: https://physx-anything.github.io/
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Code: https://github.com/ziangcao0312/PhysX-Anything
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---
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base_model:
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- Qwen/Qwen2.5-VL-7B-Instruct
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datasets:
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- Caoza/PhysX-Mobility
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- Caoza/PhysX-3D
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license: mit
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tags:
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- Simulation-Ready
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- Physical 3D Generation
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- 3D Vision
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- 3D
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pipeline_tag: image-to-3d
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library_name: transformers
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---
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## PhysX-Anything
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The model of PhysX-Anything, the first simulation-ready physical 3D generative framework that, given a single in-the-wild image, produces high-quality sim-ready 3D assets with explicit geometry, articulation, and physical attributes. It is presented in the paper [PhysX-Anything: Simulation-Ready Physical 3D Assets from Single Image](https://huggingface.co/papers/2511.13648).
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Project page: https://physx-anything.github.io/
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Code: https://github.com/ziangcao0312/PhysX-Anything
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