FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-onon

FitDiT is designed for high-fidelity virtual try-on using Diffusion Transformers (DiT).

Updates

• 2024/12/4: Our Online Demo is released.
• 2024/11/25: Our Complex Virtual Dressing Dataset (CVDD) is released.
• 2024/11/15: Our FitDiT paper is available.

Gradio Demo

Our algorithm is divided into two steps. The first step is to generate the mask of the try-on area, and the second step is to try-on in the mask area.

Step1: Run Mask

You can simpley get try-on mask by click Step1: Run Mask at the right side of gradio demo. If the automatically generated mask are not well covered the area where you want to try-on, you can either adjust the mask by:

1. Drag the slider of mask offset top, mask offset bottom, mask offset left or mask offset right and then click Step1: Run Mask button, this will re-generate mask.

   

2. Using the brush or eraser tool to edit the automatically generated mask

   

Step2: Run Try-on

After generating a suitable mask, you can get the try-on results by click Step2: Run Try-on. In the Try-on resolution drop-down box, you can select a suitable processing resolution. In our online demo, the default resolution is 1152x1536, which means that the input model image and garment image will be pad and resized to this resolution before being fed into the model.

Citation

@misc{jiang2024fitditadvancingauthenticgarment,
      title={FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on}, 
      author={Boyuan Jiang and Xiaobin Hu and Donghao Luo and Qingdong He and Chengming Xu and Jinlong Peng and Jiangning Zhang and Chengjie Wang and Yunsheng Wu and Yanwei Fu},
      year={2024},
      eprint={2411.10499},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2411.10499}, 
}