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--- |
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license: cc-by-nc-nd-4.0 |
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pipeline_tag: image-to-3d |
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tags: |
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- 3D |
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- Avatar |
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--- |
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# UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collections |
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UP2You is a tuning-free framework for 3D human reconstruction from unconstrained photo collections. |
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* **Paper**: [UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collections](https://arxiv.org/abs/2509.24817) |
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* **Project Page**: [https://zcai0612.github.io/UP2You/](https://zcai0612.github.io/UP2You/) |
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* **Code**: [https://github.com/zcai0612/UP2You](https://github.com/zcai0612/UP2You) |
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## Sample Usage |
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To run the inference pipeline with example images: |
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```bash |
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python inference_low_gpu.py \ |
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--base_model_path stabilityai/stable-diffusion-2-1-base \ |
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--segment_model_name briaai/RMBG-2.0 \ |
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--data_dir examples \ |
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--output_dir outputs \ |
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``` |
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Alternatively, you can use the provided shell script: |
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```bash |
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bash run.sh |
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``` |
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`examples` is the folder containing your unconstrained photos, and `outputs` is the directory where the generated 3D reconstruction results will be saved. |
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## Citation |
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If you find our work useful, please cite: |
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```bibtex |
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@article{cai2025up2you, |
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title={UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collections}, |
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author={Cai, Zeyu and Li, Ziyang and Li, Xiaoben and Li, Boqian and Wang, Zeyu and Zhang, Zhenyu and Xiu, Yuliang}, |
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journal={arXiv preprint arXiv:2509.24817}, |
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year={2025} |
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} |
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``` |
