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--- |
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license: apache-2.0 |
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pipeline_tag: image-to-3d |
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library_name: diffusers |
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tags: |
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- image-to-3d |
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--- |
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# StdGEN |
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<p align="center"> |
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📃 <a href="https://arxiv.org/abs/2411.05738" target="_blank">Paper</a> • 💻 <a href="https://github.com/hyz317/StdGEN" target="_blank">[Github Repo]</a> • 🌐 <a href="https://stdgen.github.io/" target="_blank">Project Page</a> |
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</p> |
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**StdGEN** is an innovative pipeline for generating semantically decomposed high-quality 3D characters from single images. |
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## All Models |
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We open-sourced the following list of models: |
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| Model | Description | |
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| ---------------------------- | ----------------------------------------------------- | |
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| **StdGEN-canonicalize-1024** | Convert reference character image to A-pose | |
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| **StdGEN-multiview-1024** | Convert A-pose image to multi-view images and normals | |
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| **StdGEN-mesh-slrm** | Semantic-aware Large Reconstruction Model | |
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## Citation |
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If you find our work useful, please consider citing StdGEN: |
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``` |
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@article{he2024stdgen, |
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title={StdGEN: Semantic-Decomposed 3D Character Generation from Single Images}, |
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author={He, Yuze and Zhou, Yanning and Zhao, Wang and Wu, Zhongkai and Xiao, Kaiwen and Yang, Wei and Liu, Yong-Jin and Han, Xiao}, |
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journal={arXiv preprint arXiv:2411.05738}, |
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year={2024} |
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} |
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``` |
