| --- |
| license: mit |
| language: |
| - en |
| pretty_name: Polyp-Gen |
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| # Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion |
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| Polyp-Gen is a text-guided full-automatic diffusion-based endoscopic image generation framework for realistic and diverse polyp image generation for endoscopic dataset expansion, as presented in [Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion](https://huggingface.co/papers/2501.16679). You can use our model for polyp generation. |
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| Code is available [here](https://github.com/CUHK-AIM-Group/Polyp-Gen). |
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| ## Dataset |
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| This dataset was modified by the original [LDPolypVideo](https://github.com/dashishi/LDPolypVideo-Benchmark) dataset. |
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| We filtered out some low-quality images with blurry, reflective, and ghosting effects, and finally select 55,883 samples including 29,640 polyp frames and 26,243 non-polyp frames. |
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| [02/26] We update the download link of the training and test dataset at HuggingFace [link](https://huggingface.co/datasets/Saint-lsy/Polyp-Gen-Dataset) |
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| ## Citation |
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| If you find this work helpful, please consider to **star🌟** this repo and cite the following paper: |
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| ```bib |
| @article{liu2025polyp, |
| title={Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion}, |
| author={Liu, Shengyuan and Chen, Zhen and Yang, Qiushi and Yu, Weihao and Dong, Di and Hu, Jiancong and Yuan, Yixuan}, |
| journal={arXiv preprint arXiv:2501.16679}, |
| year={2025} |
| } |
| ``` |
| and the original LDPolypVideo paper: |
| ``` |
| Yiting. Ma, Xuejin. Chen, Kai. Cheng, Yang. Li and Bin. Sun. "LDPolypVideo Benchmark: A Large-scale Colonoscopy Video Dataset of Diverse Polyps", Medical Image Computing and Computer Assisted Intervention Society, 2021 |
| ``` |
