TryOffAnyone

The official repository of the paper: "TryOffAnyone: Tiled Cloth Generation from a Dressed Person".

Install

Clone the repository, install the required packages:

git clone https://github.com/ixarchakos/try-off-anyone.git
cd try-off-anyone
python3 -m pip install -r requirements.txt

Download the model from:

• https://huggingface.co/ixarchakos/tryOffAnyone

in "try-off-anyone/ckpt/"

The provided model only works for upper clothes similar to the ones in VITON-HD

Inference

Execute TryOffAnyone on any image url

python3 main.py --inference --url="https://cdn11.bigcommerce.com/s-405b0/images/stencil/590x590/products/97/20409/8000-gildan-tee-t-shirt.ca-model__66081.1724276210.jpg"

the output is saved in "try-off-anyone/data/"

Evaluation on VITON-HD

Dataset

• Download the original VITON-HD dataset

and extract it to "try-off-anyone/data/"

• Download the cloth image masks from: https://huggingface.co/ixarchakos/tryOffAnyone/blob/main/masks.zip

and save them in "try-off-anyone/data/zalando-hd-resized/test/"

Evaluation

Evaluate TryOffAnyone on VITON-HD:

python3 main.py --test

Citation

If you find this repository useful in your research, please consider giving a star ⭐ and a citation:

@misc{xarchakos2024tryoffanyonetiledclothgeneration,
      title={TryOffAnyone: Tiled Cloth Generation from a Dressed Person}, 
      author={Ioannis Xarchakos and Theodoros Koukopoulos},
      year={2024},
      eprint={2412.08573},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2412.08573}, 
}