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+NVIDIA License
+
+1. Definitions
+
+“Licensor” means any person or entity that distributes its Work.
+“Work” means (a) the original work of authorship made available under this license, which may include software, documentation, or other files, and (b) any additions to or derivative works  thereof  that are made available under this license.
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+Works are “made available” under this license by including in or with the Work either (a) a copyright notice referencing the applicability of this license to the Work, or (b) a copy of this license.
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+2. License Grant
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+3. Limitations
+
+3.1 Redistribution. You may reproduce or distribute the Work only if (a) you do so under this license, (b) you include a complete copy of this license with your distribution, and (c) you retain without modification any copyright, patent, trademark, or attribution notices that are present in the Work.
+
+3.2 Derivative Works. You may specify that additional or different terms apply to the use, reproduction, and distribution of your derivative works of the Work (“Your Terms”) only if (a) Your Terms provide that the use limitation in Section 3.3 applies to your derivative works, and (b) you identify the specific derivative works that are subject to Your Terms. Notwithstanding Your Terms, this license (including the redistribution requirements in Section 3.1) will continue to apply to the Work itself.
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+3.3 Use Limitation. The Work and any derivative works thereof only may be used or intended for use non-commercially. Notwithstanding the foregoing, NVIDIA Corporation and its affiliates may use the Work and any derivative works commercially. As used herein, “non-commercially” means for conducting research activities and research publications, in each case on a non-commercial basis.
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+3.4 Patent Claims. If you bring or threaten to bring a patent claim against any Licensor (including any claim, cross-claim or counterclaim in a lawsuit) to enforce any patents that you allege are infringed by any Work, then your rights under this license from such Licensor (including the grant in Section 2.1) will terminate immediately.
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flow.pt

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model_card.md

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+---
+license: other
+license_name: nvidia-non-commercial-license
+license_link: https://huggingface.co/nvidia/PartPacker/blob/main/LICENSE
+language:
+- en
+---
+
+# PartPacker
+
+## Description:
+In this work, we propose a new end-to-end framework for part-level 3D object generation.
+Given a single input image, our method generates high-quality 3D shapes with an arbitrary number of complete and semantically meaningful parts. Most existing methods generate a single mesh with all parts fused together, which limits the ability to edit or manipulate individual parts. A key challenge in part-level generation is that different objects may have a varying number of components. To address this problem, we introduce a dual volume packing strategy that organizes all parts into two complementary volumes, allowing for the creation of complete and interleaved parts that assemble into the final object. Experiments show that our model achieves better quality, diversity, and generalization than previous image-based part-level generation methods.
+
+This model is ready for non-commercial use.
+
+## License/Terms of Use:
+[NVIDIA Non-Commercial License](https://huggingface.co/nvidia/PartPacker/blob/main/LICENSE)
+
+## Model Architecture:
+**Architecture Type:** Transformer
+
+## Input:
+**Input Type(s):** Image
+**Input Format(s):** RGB Image
+**Input Parameters:** 2D Image
+**Other Properties Related to Input:** Condition for the model.
+
+## Output:
+**Output Type(s):** Mesh
+**Output Format:** GLB
+**Output Parameters:** 3D Mesh
+**Other Properties Related to Output:** Generated 3D shape with parts.
+
+## Supported Hardware Microarchitecture Compatibility
+* NVIDIA Ampere
+* NVIDIA Hopper
+
+## Supported Operating System(s)
+* Linux
+
+## Model Version(s):
+v1.0
+
+## Training Dataset:
+[Objaverse-XL](https://objaverse.allenai.org/)
+**Properties:** We use about 250k mesh data, which is a subset from the Objaverse-XL with part-level annotations.
+**Dataset License(s):** The use of the dataset as a whole is licensed under the ODC-By v1.0 license.
+
+
+## Inference:
+Pytorch
+
+
+## Ethical Considerations:
+NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
+
+Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).

vae.pt

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