Xiao-I Corporation announced its recent significant progress in its latest product line, virtual Try-on technology (OOTDiffusion). The OOTDiffusion algorithm, independently developed by Xiao-I, was released on arXiv, an open-access repository of electronic preprints and postprints, in March 2024. OOTDiffusion is a new network architecture for realistic and controllable virtual try-on (VTON).

Xiao-I utilizes a pre-trained latent diffusion model and designs an equipped UNet to learn the detailed features of clothing. Through the outfit fusion method proposed in the self-attention layers of the denoising UNet, precise alignment of clothing features with the target human body can be achieved without redundant deformation processes. To enhance controllability, Xiao-I introduces outfit dropping, which adjusts the intensity of clothing features during the training process without the need for a classifier.

Furthermore, the algorithm topped the "Hugging Face Paper 3.5-Day Leaderboard", a machine learning application tools development company in the United States, and sparked extensive discussions on X, formerly known as Twitter. Xiao-I is dedicated to making changes in everyone's life with AI, driven by the increasing demand for virtual try-on technology in the market. The OOTDiffusion product is expected to be launched on Xiao-I's official website in May.

This product will provide users with a brand-new dressing experience, allowing them to try different clothing styles in a virtual world using intelligent algorithms and virtual reality technology. Whether it is a source of fashion inspiration or adding fun to the shopping experience, OOTDiffusion will become an essential tool in users' lives. Xiao-I will continue to drive the development of AI technology, bringing more innovation and surprises to users.

Please stay tuned for the release of the OOTDiffusion products in May by Xiao-I and enjoy the new experience brought by virtual try-on.