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  @article{wang2024crm,
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- title={Test new version},
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  author={Zhengyi Wang and Yikai Wang and Yifei Chen and Chendong Xiang and Shuo Chen and Dajiang Yu and Chongxuan Li and Hang Su and Jun Zhu},
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  journal={arXiv preprint arXiv:2403.05034},
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  year={2024}
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  }
 
 
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+ ---
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+ license: mit
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+ pipeline_tag: image-to-3d
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+ tags:
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+ - image-to-3d
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+ ---
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+
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+ # Convolutional Reconstruction Model
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+
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+ Model card for *CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model*.
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+
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+ Project Page: https://ml.cs.tsinghua.edu.cn/~zhengyi/CRM/
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+
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+ Arxiv: https://arxiv.org/abs/2403.05034
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+
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+
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+ ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/634e15aec1ce28f1de91c470/4Ggn8Vl8zV0kccAF1376o.jpeg)
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+
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+ The model contains a diffusion model to generate multi-view images from single input image, another difffusion to generate CCMs, and a UNet-based reconstruction model to get the final textured mesh.
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+
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+ ## Citation
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+
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+ ```
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  @article{wang2024crm,
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+ title={CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model},
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  author={Zhengyi Wang and Yikai Wang and Yifei Chen and Chendong Xiang and Shuo Chen and Dajiang Yu and Chongxuan Li and Hang Su and Jun Zhu},
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  journal={arXiv preprint arXiv:2403.05034},
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  year={2024}
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  }
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+ ```