zhengchong/FastFit-MR-1024
Image-to-Image
•
Updated
Datasets:
ArXiv:
License:
You need to agree to share your contact information to access this dataset
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
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.
Log in or Sign Up to review the conditions and access this dataset content.
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.
- Downloads last month
- 171