Enhancing Person-to-Person Virtual Try-On with Multi-Garment Virtual Try-Off
Paper
•
2504.13078
•
Published
These models are based on the research papers:
Available models:
tryoffdiff.pth: Generates upper-body garments. Fine-tuned on VITON-HD-train.tryoffdiffv2_upper.pth: Generates upper-body garments. Fine-tuned on a subset of Dress Code-train.tryoffdiffv2_lower.pth: Generates lower-body garments. Fine-tuned on a subset of Dress Code-train.tryoffdiffv2_dress.pth: Generates dresses. Fine-tuned on a subset of Dress Code-train.tryoffdiffv2_multi.pth (MGT): Generates all three garment types (upper-body, lower-body, dresses). Fine-tuned on the entire Dress Code-train.For a complete running example, see the demo code on HuggingFace Spaces.
For more information on training, inference, and evaluation, refer to the GitHub repository.
TL;DR: Not available for commercial use, unless the FULL source code is shared!
This project is intended solely for academic research. No commercial benefits are derived from it.
Models are licensed under Server Side Public License (SSPL)
If you use this work, please give a star ⭐ and a citation:
@inproceedings{velioglu2025tryoffdiff,
title = {TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models},
author = {Velioglu, Riza and Bevandic, Petra and Chan, Robin and Hammer, Barbara},
booktitle = {BMVC},
year = {2025},
note = {\url{https://doi.org/nt3n}}
}
@inproceedings{velioglu2025mgt,
title = {MGT: Extending Virtual Try-Off to Multi-Garment Scenarios},
author = {Velioglu, Riza and Bevandic, Petra and Chan, Robin and Hammer, Barbara},
booktitle = {ICCVW},
year = {2025},
note = {\url{https://doi.org/pn67}}
}
Base model
CompVis/stable-diffusion-v1-4Totally Free + Zero Barriers + No Login Required