Davide Morelli*, Alberto Baldrati*, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara

* Equal contribution.

This is the official repository for the paper "LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On".

• Inference Code
• Pretrained Models
• Train Code

If you make use of our work, please cite our paper:

@article{morelli2023ladi,
  title={LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On},
  author={Morelli, Davide and Baldrati, Alberto and Cartella, Giuseppe and Cornia, Marcella and Bertini, Marco and Cucchiara, Rita},
  journal={arXiv preprint arXiv:2305.13501},
  year={2023}
}

This work has partially been supported by the PNRR project “Future Artificial Intelligence Research (FAIR)”, by the PRIN project “CREATIVE: CRoss-modal understanding and gEnerATIon of Visual and tExtual content” (CUP B87G22000460001), both co-funded by the Italian Ministry of University and Research, and by the European Commission under European Horizon 2020 Programme, grant number 101004545 - ReInHerit.