BooW-VTON is a research project focused on improving outdoor virtual try-on effects through mask-free pseudo data training, which enhances virtual try-on technology. Its significance lies in improving the realism and accuracy of clothing try-ons in natural environments, making it highly relevant for fashion e-commerce and virtual reality domains. According to product background information, this project is based on deep learning image generation models designed to address the unnatural integration of clothing and human bodies in traditional virtual try-ons. The project is currently free and open-source, situated in the research and development stage.