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[IJCAI 2024] FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on

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FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on

Official PyTorch implementation of the paper "FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on" (IJCAI2024)

TODO LIST

  • Demo images
  • Inference code
  • Training code

Installation

git clone https://github.com/xiangji-ai/fldm-vton
cd fldm-vton

pipenv install -f requirements.txt

Data preparation

VITON-HD

You can download VITON-HD dataset from VITON-HD.

DressCode

You can download DressCode dataset from DressCode.

License

All material is made available under Creative Commons BY-NC 4.0. You can use, redistribute, and adapt the material for non-commercial purposes, as long as you give appropriate credit by citing our paper and indicate any changes that you've made.

Citation

If you find this work useful for your research, please cite our paper:

@inproceedings{wang2024fldm,
  title={FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on},
  author={Wang, Chenhui and Chen, Tao and Chen, Zhihao and Huang, Zhizhong and Jiang, Taoran and Wang, Qi and Shan, Hongming},
  booktitle={International Joint Conference on Artificial Intelligence},
  year={2024}
}

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