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  [Yu Qiao](https://scholar.google.com/citations?user=gFtI-8QAAAAJ&hl),
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  [Yali Wang†](https://scholar.google.com/citations?user=hD948dkAAAAJ)
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- [![arXiv](https://img.shields.io/badge/arXiv-2408.10605-b31b1b.svg)](https://arxiv.org/abs/2408.10605)
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- [![GitHub](https://img.shields.io/badge/GitHub-MUSES-blue?logo=github)](https://github.com/DINGYANB/MUSES)
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- [![Hugging Face Space](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-yellow)](https://huggingface.co/yanboding/MUSES/)
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  </div>
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  Despite recent advancements in text-to-image generation, most existing methods struggle to create images with multiple objects and complex spatial relationships in 3D world. To tackle this limitation, we introduce a generic AI system, namely MUSES, for 3D-controllable image generation from user queries.
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- <img width="800" alt="image" src="https://github.com/DINGYANB/MUSES/blob/main/assets/demo.png">
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  </a>
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  By mimicking the collaboration of human professionals, this multi-modal agent pipeline facilitates the effective and automatic creation of images with 3D-controllable objects, through an explainable integration of top-down planning and bottom-up generation.
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- <img width="800" alt="image" src="https://github.com/DINGYANB/MUSES/blob/main/assets/overview.png">
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  </a>
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  [Yu Qiao](https://scholar.google.com/citations?user=gFtI-8QAAAAJ&hl),
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  [Yali Wang†](https://scholar.google.com/citations?user=hD948dkAAAAJ)
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+ [![arXiv](https://img.shields.io/badge/arXiv-2408.10605-b31b1b.svg)](https://arxiv.org/abs/2408.10605) [![GitHub](https://img.shields.io/badge/GitHub-MUSES-blue?logo=github)](https://github.com/DINGYANB/MUSES) [![Hugging Face Space](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-yellow)](https://huggingface.co/yanboding/MUSES/)
 
 
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  </div>
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  Despite recent advancements in text-to-image generation, most existing methods struggle to create images with multiple objects and complex spatial relationships in 3D world. To tackle this limitation, we introduce a generic AI system, namely MUSES, for 3D-controllable image generation from user queries.
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+ <img width="800" alt="image" src="https://huggingface.co/yanboding/MUSES/blob/main/demo.png">
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  </a>
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  By mimicking the collaboration of human professionals, this multi-modal agent pipeline facilitates the effective and automatic creation of images with 3D-controllable objects, through an explainable integration of top-down planning and bottom-up generation.
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+ <img width="800" alt="image" src="https://huggingface.co/yanboding/MUSES/blob/main/overview.png">
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  </a>
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