Recently, the research team launched an innovative technology called "TryOffAnyone" , which aims to extract and generate diverse clothing images from clothed models. This technology is different from traditional AI fitting technology, which usually displays clothes through virtual models. What is unique about TryOffAnyone is that it can directly extract the clothes worn from images of people and generate new styles based on them.
The core function of this project is to use deep learning algorithms to analyze pictures uploaded by users and generate a variety of design solutions that match the clothing worn by the characters in the original pictures. Users only need to provide the URL of an image, and the system will automatically process it and generate the corresponding clothing image. The generated images will be saved to the specified directory of the project, allowing users to view and download them at any time.
To ensure the validity and accuracy of the model, the research team also conducted a comprehensive evaluation on the VITON-HD data set and provided detailed testing steps to further verify the feasibility and reliability of the technology.
In order to facilitate the citation and application of researchers around the world, the team has published the complete citation format on the GitHub page, encouraging other researchers to make appropriate academic identification when using this technology.