xibushu / UniForge3D

# UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space
Wenjue Chen 1,* , Wenyue Chen 1,2,* , Heliang Zheng 2 , Rongfei Jia 2 , Yuan Liu 3,† , Meng Li 1,† 
 1 Peking University   2 Math Magic   3 The Hong Kong University of Science and Technology
 * Equal contribution. † Corresponding authors.
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. 
## Installation
 [code] 
## Inference
Place the views of each object directly in a separate folder under `assets/`:
 [code] 
Run all cases using the pretrained model:
 [code] 
## Acknowledgements
Our code is based on these wonderful works:
- TRELLIS.2
- VGGT
## License
Original UniForge3D source code is released under the
MIT License. Third-party code, dependencies, and model
weights retain their respective licenses and are not relicensed
under this project's MIT License. Please refer to their original
license files and notices for applicable terms.
The MIT License for our source code does not apply to the released
model weights. In particular, our VGGT-derived checkpoints were
initialized from
facebook/VGGT-1B
and remain subject to
CC BY-NC 4.0.
The default background remover,
BRIA RMBG-2.0,
requires separate authorization for commercial use.
## Citation
If you find UniForge3D useful in your research, please cite our paper:
 [code]