xibushu/UniForge3D
Official implementation of “UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space.”
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README & documentation
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Wenjue Chen1,*, Wenyue Chen1,2,*, Heliang Zheng2, Rongfei Jia2, Yuan Liu3,†, Meng Li1,† 1 Peking University 2 Math Magic 3 The Hong Kong University of Science and Technology * Equal contribution. † Corresponding authors. [](https://xishuxishu.github.io/uniforge3d-project/) [](https://huggingface.co/xibushu/UniForge3D) [](https://arxiv.org/abs/2610.15357) UniForge3D generates complete 3D assets from sparse, unposed multi-view images. It jointly models reconstruction and generation in a shared anchor-guided space, then uses structure-guided view selection to preserve observed details. Place the views of each object directly in a separate folder under assets/: Run all cases using the pretrained model: Our code is based on these wonderful works: Original UniForge3D source code is released under the MIT License. Third-party code, dependencies, and model weights retain their respective…
Read the full README ↗ · Preview checked 2026-10-27T13:16:25.027Z
Inside the original README — Document outline
- UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space
- Installation
- Inference
- Acknowledgements
- License
- Citation
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What this repository does
Official implementation of “UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space.”
Repository facts
- Owner
- xibushu
- Primary language
- Python
- Stars
- 238
- Forks
- 22
- Open issues + pull requests
- 1
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-10-10T13:58:00.000Z
- Last push
- 2026-10-17T09:15:35.000Z
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