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  license: cc-by-nc-sa-4.0
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  license: cc-by-nc-sa-4.0
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  ---
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+ # IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
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+ This is an official implementation of paper 'Improving Diffusion Models for Authentic Virtual Try-on in the Wild'
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+ - [paper](https://arxiv.org/abs/2403.05139)
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+ - [project page](https://idm-vton.github.io/)
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+ 🤗 Try our huggingface [Demo](https://huggingface.co/spaces/yisol/IDM-VTON)
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+ ![teaser](assets/teaser.png) 
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+ ![teaser2](assets/teaser2.png) 
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+
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+ ## TODO LIST
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+ - [x] demo model
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+ - [x] inference code
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+ - [ ] training code
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+ ## Acknowledgements
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+ For the demo, GPUs are supported from [zerogpu](https://huggingface.co/zero-gpu-explorers), and auto masking generation codes are based on [OOTDiffusion](https://github.com/levihsu/OOTDiffusion) and [DCI-VTON](https://github.com/bcmi/DCI-VTON-Virtual-Try-On).
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+ Parts of the code are based on [IP-Adapter](https://github.com/tencent-ailab/IP-Adapter).
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+ ## Citation
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+ ```
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+ @article{choi2024improving,
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+ title={Improving Diffusion Models for Virtual Try-on},
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+ author={Choi, Yisol and Kwak, Sangkyung and Lee, Kyungmin and Choi, Hyungwon and Shin, Jinwoo},
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+ journal={arXiv preprint arXiv:2403.05139},
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+ year={2024}
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+ }
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+ ```
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+ ## License
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+ The codes and checkpoints in this repository are under the [CC BY-NC-SA 4.0 license](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
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