metadata

license: other
extra_gated_prompt: >-
  This dataset is available **exclusively for non-commercial academic
  research**. You must confirm that you already have access to the original
  DressCode dataset, and use an **institutional email** to request access. By
  requesting access, you agree NOT to use this dataset or its content for any
  commercial purposes, and NOT to redistribute any part of it publicly or
  privately.
extra_gated_fields:
  Name: text
  Country: country
  Affiliation: text
  Email (Education Email Only): text
  Have you been granted access to the original DressCode dataset?: checkbox
  I agree to use this dataset for non-commercial research purposes ONLY and not to share it publicly or privately with others: checkbox
viewer: false

Okay, I can help with that. Here is the updated README with the provided links, formatted to be left-aligned.

DressCode-MR: A Large-Scale Multi-Reference Virtual Try-On Dataset

Supported by LavieAI and LoomlyAI

arXiv | Hugging Face | GitHub | Demo | License

DressCode-MR is a large-scale, multi-reference virtual try-on dataset constructed upon the original DressCode dataset. It contains over 28,000 multi-reference virtual try-on samples designed to facilitate and evaluate virtual try-on models capable of handling multiple fashion items—such as tops, bottoms, dresses, shoes, and bags—simultaneously.

Dataset Details

Multi-Reference Samples: Each sample consists of a person's image paired with a set of compatible clothing and accessory items, enabling models to learn how to coordinate multiple fashion pieces within a single scene.
Large Scale: The dataset includes a total of 28,179 high-quality multi-reference samples, with 25,779 designated for training and 2,400 for testing.
Source: This dataset is built upon the DressCode dataset.

Access and License

This dataset is released under the exact same license as the original DressCode dataset. Therefore, before you can request access to the DressCode-MR dataset, you must first complete the following steps:

Apply for and be granted a license to use the DressCode dataset.
Use your educational/academic email address (e.g., one ending in .edu, .ac, etc.) to request access to the DressCode-MR dataset on Hugging Face. Any requests from non-academic email addresses will be rejected.

Usage

After downloading the dataset, you can decompress the files using the following commands:

cat DressCode-MR.tar.gz.part_* > DressCode-MR.tar.gz
tar -zxvf DressCode-MR.tar.gz

Citation

If you use the DressCode-MR dataset in your research, please cite our FastFit paper.

@misc{chong2025fastfitacceleratingmultireferencevirtual,
      title={FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models}, 
      author={Zheng Chong and Yanwei Lei and Shiyue Zhang and Zhuandi He and Zhen Wang and Xujie Zhang and Xiao Dong and Yiling Wu and Dongmei Jiang and Xiaodan Liang},
      year={2025},
      eprint={2508.20586},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2508.20586}, 
}

Acknowledgement

We thank the contributors to the DressCode project, as their work provided the foundation for our DressCode-MR dataset.