# Voost **Repository Path**: monkeycc/Voost ## Basic Information - **Project Name**: Voost - **Description**: No description available - **Primary Language**: Python - **License**: Not specified - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-12-03 - **Last Updated**: 2025-12-03 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

[SIGGRAPH Asia'25] Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off

arxiv Project Page License [Seungyong Lee*](https://ryan-seungyong-lee.github.io/)   [Jeong-gi Kwak*](https://jgkwak95.github.io/)
* Equal contribution
**[NXN LABS](https://nxn.ai/)**

Voost Teaser
Voost jointly handles virtual try-on and try-off within a single transformer, achieving high-quality results while remaining robust to various human poses, garment categories, backgrounds, lighting conditions, and image compositions.

## News - [2025-10-13] πŸŽ‰ Voost has been accepted to SIGGRAPH Asia 2025! - [2025-08-19] πŸš€ A public demo of Voost is now available on [Hugging Face Spaces](https://huggingface.co/spaces/NXN-Labs/Voost). Try it out and don’t forget to leave a 🀍 _like_ to support us! - [2025-08-08] πŸ“„ Voost is now on [arXiv](https://arxiv.org/abs/2508.04825). Visit the [project page](https://nxnai.github.io/Voost/) for more details and results. ## Demo Hugging Face Demo πŸš€ A **public demo (try-on & try-off)** is now available on [Hugging Face Spaces](https://huggingface.co/spaces/NXN-Labs/Voost). Try it out and don’t forget to leave a 🀍 like to support us!
demo-ui

### Examples
demo 1 demo 2 demo 3 demo 4 demo 5

## Citation ```bibtex @article{lee2025voost, author = {Seungyong Lee and Jeong-gi Kwak}, title = {Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off}, journal = {arXiv preprint arXiv:2508.04825}, year = {2025} } ``` ## License This project is licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0/). For commercial use, please visit [NXN Labs](https://nxn.ai/). ## Acknowledgments Most models and clothing images used are from internet and public datasets (VITON, DressCode). All images and brands are the property of their respective owners.