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  We explore how to construct unbiased Chest X-Ray datasets using StyleGAN!
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  ![architecture diagram](https://github.com/user-attachments/assets/aeadec70-d718-4410-aa4f-de874f15cb3f)
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  ## OverView
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  ### Introduction
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  Qwen2.5-Omni is an end-to-end multimodal model designed to perceive diverse modalities, including text, images, audio, and video, while simultaneously generating text and natural speech responses in a streaming manner.
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- <p align="center">
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- <img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2.5-Omni/qwen_omni.png" width="80%"/>
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- <p>
 
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  We explore how to construct unbiased Chest X-Ray datasets using StyleGAN!
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  ![architecture diagram](https://github.com/user-attachments/assets/aeadec70-d718-4410-aa4f-de874f15cb3f)
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+ <img width="1035" alt="Screenshot 2025-03-29 at 3 05 31 AM" src="https://github.com/user-attachments/assets/3839dcf0-6094-448e-916c-f7635a668ca7" />
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  ## OverView
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  ### Introduction
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  Qwen2.5-Omni is an end-to-end multimodal model designed to perceive diverse modalities, including text, images, audio, and video, while simultaneously generating text and natural speech responses in a streaming manner.