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16 changes: 15 additions & 1 deletion readme.md
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<div align="center">

[![arXiv](https://img.shields.io/badge/arXiv-2511.XXXXX-b31b1b.svg)](https://arxiv.org/abs/2502.XXXXX)
[![arXiv](https://img.shields.io/badge/arXiv-2511.15831-b31b1b.svg)](https://arxiv.org/abs/2511.15831)
[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-yellow)](https://huggingface.co/zwplus/UniFit)
[![License](https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg)](./LICENSE)

Expand Down Expand Up @@ -75,3 +75,17 @@ Coming soon. We will provide weights for both SD3.5 and Flux.1 based models.
Our code is modified based on [Diffusers](https://github.com/huggingface/diffusers). We use [Stable Diffusion 3.5 Medium](https://huggingface.co/stabilityai/stable-diffusion-3.5-medium) and [
FLUX.1-Fill-dev](https://huggingface.co/black-forest-labs/FLUX.1-Fill-dev) as the base model. We adopt [
Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct) as the MGSA Module. Thanks to all the contributors!


## 📝 Citation

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

```bibtex
@article{zhang2025unifit,
title={UniFit: Towards Universal Virtual Try-on with MLLM-Guided Semantic Alignment},
author={Zhang, Wei and Jin, Yeying and Li, Xin and Zhang, Yan and Cong, Xiaofeng and Wang, Cong and Qiao, Fengcai and others},
journal={arXiv preprint arXiv:2511.15831},
year={2025}
}
```